WEBVTT - LinkedIn's Reid Live from the Bloomberg Tech Summit

0:00:02.920 --> 0:00:10.719
<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

0:00:10.720 --> 0:00:13.960
<v Speaker 1>Week inside from the reporters and editors who bring you

0:00:14.000 --> 0:00:18.360
<v Speaker 1>America's most trusted business magazine, plus global business, finance and

0:00:18.400 --> 0:00:22.640
<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

0:00:23.040 --> 0:00:25.800
<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

0:00:27.080 --> 0:00:30.040
<v Speaker 2>Carol Mappler, Tim's done live. You're in San Francisco at

0:00:30.080 --> 0:00:32.760
<v Speaker 2>the Bloomberg Technology Summit, and for to say, Carol, We've

0:00:32.800 --> 0:00:34.840
<v Speaker 2>already heard from the great lineup of speakers. I mentioned

0:00:34.920 --> 0:00:38.760
<v Speaker 2>Flows out of Newman formerly of We Work Lead, a caller,

0:00:38.840 --> 0:00:44.479
<v Speaker 2>the godmother of ai AI. Yeah, Culture Professor heard from

0:00:44.479 --> 0:00:48.440
<v Speaker 2>her a little earlier. Snapsil and Spiegel also here at

0:00:48.440 --> 0:00:50.160
<v Speaker 2>this event. Got a great lineup.

0:00:50.240 --> 0:00:52.040
<v Speaker 3>It's really fun to see the networking going on. We've

0:00:52.080 --> 0:00:54.320
<v Speaker 3>also got our own star and we're talking about Bradstone.

0:00:54.400 --> 0:00:56.920
<v Speaker 4>He is the editor of Bloomberg Business Week. He's also,

0:00:56.960 --> 0:00:57.920
<v Speaker 4>of course the author.

0:00:57.680 --> 0:01:01.080
<v Speaker 3>Of numerous books including those on Amazon, on Amazon, on Bound,

0:01:01.280 --> 0:01:03.160
<v Speaker 3>and so much more. Joining us here at the Bloomberg

0:01:03.200 --> 0:01:05.880
<v Speaker 3>Tech sum and actually you have invited us in, so

0:01:05.920 --> 0:01:08.160
<v Speaker 3>thank you so much for that. First of all, I

0:01:08.160 --> 0:01:10.400
<v Speaker 3>feel like there's so much going on AI. Yes, but

0:01:10.440 --> 0:01:13.160
<v Speaker 3>tell us about Brad. The conversations you guys had as

0:01:13.200 --> 0:01:15.080
<v Speaker 3>a team about what you wanted to cover there.

0:01:15.880 --> 0:01:17.120
<v Speaker 5>Yeah, you know, it's funny.

0:01:17.400 --> 0:01:19.440
<v Speaker 6>We do these every year and we tried not to

0:01:19.480 --> 0:01:23.520
<v Speaker 6>repeat ourselves, and last year we were really talking about

0:01:23.560 --> 0:01:28.080
<v Speaker 6>the emergence of chat GPT. It had gotten everybody talking,

0:01:28.560 --> 0:01:31.040
<v Speaker 6>and so of course we had Sam Altman as our

0:01:31.120 --> 0:01:35.680
<v Speaker 6>keynote speaker, and you can't buy the same people every year.

0:01:35.680 --> 0:01:38.000
<v Speaker 6>But the other thing that's happened is it has started

0:01:38.040 --> 0:01:41.200
<v Speaker 6>a movement, and so we thought, well, who else do

0:01:41.240 --> 0:01:41.640
<v Speaker 6>we want?

0:01:41.760 --> 0:01:43.640
<v Speaker 5>And the first names that's sprung to mind.

0:01:43.760 --> 0:01:48.440
<v Speaker 6>Are the founders of Anthropic Siblings.

0:01:47.840 --> 0:01:49.360
<v Speaker 5>Dario and Daniela Amoday.

0:01:49.640 --> 0:01:51.880
<v Speaker 6>They actually worked at the Open AI and spun out

0:01:52.640 --> 0:01:55.240
<v Speaker 6>maybe with an implicit objection to how open A was

0:01:55.280 --> 0:01:57.840
<v Speaker 6>being run. That's where we started today and it's really

0:01:57.840 --> 0:02:01.120
<v Speaker 6>set the tone for the conversations today mentioned faife A Lee,

0:02:01.640 --> 0:02:04.600
<v Speaker 6>We have been coaches, la Reid Hoffmann coming later. Really,

0:02:04.720 --> 0:02:07.120
<v Speaker 6>I think where we settled on was like, let's find

0:02:07.640 --> 0:02:10.160
<v Speaker 6>some of the architects of this moment and to ask

0:02:10.240 --> 0:02:13.239
<v Speaker 6>them the hard questions about are we really kind of

0:02:13.360 --> 0:02:15.240
<v Speaker 6>comfortable where we're going?

0:02:15.560 --> 0:02:17.720
<v Speaker 5>Or is this an arms race that is propelling everyone

0:02:17.800 --> 0:02:18.760
<v Speaker 5>forward just to win?

0:02:19.200 --> 0:02:21.520
<v Speaker 2>And what does that mean? So what does that mean?

0:02:21.600 --> 0:02:23.880
<v Speaker 2>Because you know, if we think about where we were

0:02:23.919 --> 0:02:26.280
<v Speaker 2>a year ago when everybody was playing with chat GPT.

0:02:26.560 --> 0:02:29.320
<v Speaker 2>GPT four had basically just come out a little over

0:02:29.360 --> 0:02:31.040
<v Speaker 2>a year ago, when you had the Tech summit, here,

0:02:31.600 --> 0:02:34.280
<v Speaker 2>where are we this year with the run up in video?

0:02:34.800 --> 0:02:37.880
<v Speaker 2>You have Amazon investing in anthrophic, you have all the

0:02:37.919 --> 0:02:40.239
<v Speaker 2>open high eigh drama that happened at the end of

0:02:40.400 --> 0:02:42.440
<v Speaker 2>last year. Where are we when it comes to sort

0:02:42.480 --> 0:02:45.119
<v Speaker 2>of like AI being in primetime this Yes.

0:02:45.280 --> 0:02:48.160
<v Speaker 5>I will answer with something that you will never hear

0:02:48.280 --> 0:02:49.320
<v Speaker 5>on the stage downstairs.

0:02:49.360 --> 0:02:52.720
<v Speaker 2>Okay, I don't know here and an.

0:02:52.720 --> 0:02:57.239
<v Speaker 6>Age of remarkable what I call AI ambiguity. There's so

0:02:57.320 --> 0:02:59.680
<v Speaker 6>many things we don't know. So for example, Meta has

0:02:59.760 --> 0:03:02.760
<v Speaker 6>open source the Lamaitrie model. What does that mean for

0:03:02.840 --> 0:03:05.839
<v Speaker 6>these other companies that have spent hundreds of millions maybe

0:03:05.960 --> 0:03:09.040
<v Speaker 6>seeing billions to train and operate a model. What does

0:03:09.080 --> 0:03:11.400
<v Speaker 6>it mean that you can now get the technology for free?

0:03:12.760 --> 0:03:15.560
<v Speaker 5>Will chatbots be a thing that we regularly use or are.

0:03:15.480 --> 0:03:18.920
<v Speaker 6>They a novel expression of the technology and then they'll

0:03:18.919 --> 0:03:19.440
<v Speaker 6>fade away?

0:03:20.000 --> 0:03:23.480
<v Speaker 5>Are their lanes for startups outside.

0:03:23.000 --> 0:03:24.760
<v Speaker 6>Of what all the big tech companies that have the

0:03:24.840 --> 0:03:26.520
<v Speaker 6>resources are doing with AI.

0:03:27.120 --> 0:03:31.200
<v Speaker 7>These are great questions. I actually don't think that anybody.

0:03:30.880 --> 0:03:31.519
<v Speaker 5>Has the answer.

0:03:31.840 --> 0:03:34.840
<v Speaker 6>I think that even when I think about social media

0:03:34.920 --> 0:03:40.640
<v Speaker 6>explosion or on demand apps fueled by the iPhone, that.

0:03:40.680 --> 0:03:42.680
<v Speaker 5>We sort of had a sense of where, Okay, well

0:03:42.760 --> 0:03:44.560
<v Speaker 5>this is cool and people will.

0:03:44.400 --> 0:03:45.160
<v Speaker 2>Find it useful.

0:03:45.560 --> 0:03:49.360
<v Speaker 6>And I just think everything from how will use it

0:03:49.680 --> 0:03:52.760
<v Speaker 6>to what the economics will look like are still completely

0:03:52.960 --> 0:03:53.440
<v Speaker 6>up in the air.

0:03:53.600 --> 0:03:55.120
<v Speaker 3>I love that you went there, because I do feel

0:03:55.160 --> 0:03:58.520
<v Speaker 3>like we've all been agog if you will, right on Nvidia.

0:03:58.200 --> 0:03:59.840
<v Speaker 4>And the chips and so and so forth coming off

0:03:59.880 --> 0:04:01.760
<v Speaker 4>of milk, and I just came and people.

0:04:01.560 --> 0:04:04.360
<v Speaker 3>To even are like trying to assess where do we

0:04:04.480 --> 0:04:07.040
<v Speaker 3>put allocate the money going forward? So much of what

0:04:07.120 --> 0:04:10.720
<v Speaker 3>I heard rod was data centers right and infrastructure build out.

0:04:10.760 --> 0:04:13.080
<v Speaker 3>Like people were still like, we haven't quite figured out

0:04:13.120 --> 0:04:14.800
<v Speaker 3>the applications.

0:04:14.040 --> 0:04:15.920
<v Speaker 4>Of AI going forward.

0:04:16.200 --> 0:04:16.960
<v Speaker 5>I think that's true.

0:04:17.279 --> 0:04:19.720
<v Speaker 6>Where where I'm sort of bullish and why don't you

0:04:19.880 --> 0:04:22.200
<v Speaker 6>let's see us an example of the good old Bloomberg terminal,

0:04:23.000 --> 0:04:27.120
<v Speaker 6>where you really need to know how to get information

0:04:27.240 --> 0:04:30.120
<v Speaker 6>from the terminal, right, we know a whole lexicon and

0:04:30.240 --> 0:04:33.400
<v Speaker 6>that's pretty similar to other computer systems. They they'll do

0:04:33.560 --> 0:04:35.919
<v Speaker 6>what you tell them to do, and often you need

0:04:36.040 --> 0:04:38.480
<v Speaker 6>to speak a particular language, maybe even coding.

0:04:39.080 --> 0:04:40.040
<v Speaker 7>And what AI is.

0:04:40.320 --> 0:04:43.000
<v Speaker 6>I think of it as like a new user interface

0:04:43.360 --> 0:04:46.240
<v Speaker 6>where you can express yourself either with a voice command

0:04:46.400 --> 0:04:49.320
<v Speaker 6>or a written command and a plain language and have

0:04:49.520 --> 0:04:50.480
<v Speaker 6>it respond.

0:04:50.400 --> 0:04:51.760
<v Speaker 2>And have it do things for you.

0:04:52.360 --> 0:04:54.120
<v Speaker 6>I think that is like and I said, we're going

0:04:54.200 --> 0:04:59.080
<v Speaker 6>to see an IO next week with Google and WWWC, WWDC,

0:04:59.240 --> 0:05:03.120
<v Speaker 6>with Apple them baking it into their devices and basically

0:05:03.200 --> 0:05:05.200
<v Speaker 6>creating a new way to use technology.

0:05:05.560 --> 0:05:08.120
<v Speaker 2>Is it too early to say, Brad, that we're in

0:05:08.160 --> 0:05:09.960
<v Speaker 2>an era right now like we were with the web

0:05:10.000 --> 0:05:12.920
<v Speaker 2>browser in the nineties, sort of the dawn of the Internet,

0:05:13.320 --> 0:05:16.160
<v Speaker 2>you know, tech bubble. Notwithstanding, but the idea that there

0:05:16.279 --> 0:05:20.160
<v Speaker 2>was this new technology that fundamentally changed not just the

0:05:20.200 --> 0:05:22.680
<v Speaker 2>way we live, but the way we interact with each

0:05:22.680 --> 0:05:24.680
<v Speaker 2>other and the way that we spend money.

0:05:25.160 --> 0:05:28.719
<v Speaker 6>I'm going to go back to my handy AI ambiguity.

0:05:28.480 --> 0:05:30.840
<v Speaker 7>And say, I don't know.

0:05:31.240 --> 0:05:34.520
<v Speaker 5>I mean, if if this is the.

0:05:34.600 --> 0:05:37.640
<v Speaker 6>Domain of only the biggest companies that can afford it,

0:05:37.720 --> 0:05:42.560
<v Speaker 6>and their proxies like Anthropic that maybe it isn't a

0:05:42.720 --> 0:05:45.520
<v Speaker 6>giant ce that lists all boats.

0:05:46.080 --> 0:05:47.760
<v Speaker 5>Maybe you know, this is going to be.

0:05:48.000 --> 0:05:51.839
<v Speaker 6>Owned by four or five companies and governments around the world,

0:05:52.480 --> 0:05:55.400
<v Speaker 6>and it will concentrate their power. The arrival of the

0:05:55.480 --> 0:05:59.720
<v Speaker 6>web browser was the arrival of all sorts of entrepreneurial opportunity.

0:05:59.800 --> 0:06:02.360
<v Speaker 6>To point, you know, we had a rise and then

0:06:02.400 --> 0:06:04.720
<v Speaker 6>a crash, and then a rise again. I don't think

0:06:04.760 --> 0:06:07.880
<v Speaker 6>it's clear that this is ready set go for everyone.

0:06:08.200 --> 0:06:12.040
<v Speaker 6>It's very expensive to run these models. They'll maybe regulated,

0:06:12.120 --> 0:06:15.000
<v Speaker 6>as fafe Lea said earlier today. If you regulate them,

0:06:15.040 --> 0:06:17.640
<v Speaker 6>you could create a powerful black market based on open

0:06:17.680 --> 0:06:18.400
<v Speaker 6>source models.

0:06:18.760 --> 0:06:22.120
<v Speaker 5>So all sorts of sort of unresolved issues. And I'm

0:06:22.200 --> 0:06:22.760
<v Speaker 5>just not sure.

0:06:22.880 --> 0:06:25.800
<v Speaker 6>Despite the fact that you go to y Combinator, any

0:06:25.880 --> 0:06:29.000
<v Speaker 6>startup community here and all you will see and hear

0:06:29.120 --> 0:06:32.000
<v Speaker 6>about are AI startups.

0:06:32.440 --> 0:06:34.720
<v Speaker 5>I'm just not sure how big the opportunity is going

0:06:34.760 --> 0:06:34.920
<v Speaker 5>to be.

0:06:35.279 --> 0:06:35.680
<v Speaker 2>We'll see.

0:06:36.120 --> 0:06:38.680
<v Speaker 3>Hey, Adam Newman, you know you think about cycles right

0:06:38.760 --> 0:06:40.760
<v Speaker 3>in technology, and we're trying to still figure out right

0:06:40.800 --> 0:06:43.320
<v Speaker 3>the AI cycle going forward. But how what did you

0:06:43.400 --> 0:06:45.320
<v Speaker 3>want to know or what you know, Adam Newman in

0:06:45.440 --> 0:06:47.800
<v Speaker 3>terms of you think about we were what how it

0:06:48.000 --> 0:06:49.600
<v Speaker 3>was a cover of Bloomberg.

0:06:49.200 --> 0:06:50.440
<v Speaker 4>Business Week, maybe.

0:06:50.279 --> 0:06:54.360
<v Speaker 3>Several times I can't remember before Brad's time, before Brad's time,

0:06:54.400 --> 0:06:56.120
<v Speaker 3>but nonetheless it was a great story.

0:06:56.320 --> 0:06:58.560
<v Speaker 4>We talked so much about that company and where it

0:06:58.680 --> 0:07:00.080
<v Speaker 4>was going, and obviously it's gone through.

0:07:01.560 --> 0:07:01.680
<v Speaker 7>Well.

0:07:01.720 --> 0:07:04.120
<v Speaker 6>First of all, I felt so privileged to be able

0:07:04.160 --> 0:07:08.560
<v Speaker 6>to bring his particular brand of charismatic lunacy.

0:07:09.640 --> 0:07:11.760
<v Speaker 5>Uh oh, you know that's I don't mean.

0:07:11.680 --> 0:07:14.800
<v Speaker 6>In a harsh way. You know, he's entertaining as heck. Yeah,

0:07:14.960 --> 0:07:18.000
<v Speaker 6>like he exudes charisma. He's at it again.

0:07:18.600 --> 0:07:19.000
<v Speaker 5>I wanted.

0:07:19.120 --> 0:07:21.120
<v Speaker 6>He's trying to buy where you work out of bankruptcy.

0:07:21.600 --> 0:07:25.840
<v Speaker 6>So that was the first topic. He he they've they've

0:07:26.040 --> 0:07:29.040
<v Speaker 6>not taken his bid, and he's clearly signaling that he's

0:07:29.120 --> 0:07:32.440
<v Speaker 6>going to appeal that they don't. They think that the

0:07:32.880 --> 0:07:35.800
<v Speaker 6>creditors should have looked at his bid more carefully, that

0:07:35.920 --> 0:07:38.520
<v Speaker 6>he had the higher bid. He said that the current

0:07:38.600 --> 0:07:42.320
<v Speaker 6>creditors who won the deal are making promises they can't keep.

0:07:42.720 --> 0:07:45.040
<v Speaker 6>So that was the first topic. Then we asked him

0:07:45.120 --> 0:07:47.200
<v Speaker 6>up flow his residential real estate company.

0:07:47.760 --> 0:07:49.280
<v Speaker 7>You know, this idea of.

0:07:49.640 --> 0:07:53.280
<v Speaker 6>Spending hundreds of millions of dollars to acquire properties and

0:07:53.400 --> 0:07:56.320
<v Speaker 6>then not just be a landlord, but to use technology

0:07:56.400 --> 0:08:00.679
<v Speaker 6>to create community and a sense of belonging. Him bringing

0:08:00.800 --> 0:08:05.560
<v Speaker 6>his classic sense of uh, you know, quasi mysticism into

0:08:05.600 --> 0:08:06.480
<v Speaker 6>the world of business.

0:08:06.560 --> 0:08:08.320
<v Speaker 5>And I asked, I was like, why do you keep

0:08:09.000 --> 0:08:10.640
<v Speaker 5>we were, Yeah, why do you have that?

0:08:10.880 --> 0:08:11.040
<v Speaker 8>You know?

0:08:11.800 --> 0:08:13.720
<v Speaker 5>But it's who he is and he you know, he's.

0:08:13.560 --> 0:08:15.600
<v Speaker 6>Somebody who speaks to the heart. I asked him a

0:08:15.640 --> 0:08:18.760
<v Speaker 6>little bit. I wanted to know about whether he was different,

0:08:19.440 --> 0:08:21.240
<v Speaker 6>and I really didn't do get the sense of one,

0:08:21.320 --> 0:08:24.600
<v Speaker 6>he's got a confrontational board now that's gonna say no

0:08:24.680 --> 0:08:24.920
<v Speaker 6>to him.

0:08:24.960 --> 0:08:25.920
<v Speaker 5>He didn't have that before.

0:08:26.440 --> 0:08:29.280
<v Speaker 4>And that too, he's there's an adult, a couple of

0:08:29.280 --> 0:08:30.080
<v Speaker 4>adults in the glorio.

0:08:30.160 --> 0:08:32.439
<v Speaker 5>There were before, but they weren't acting like it.

0:08:34.080 --> 0:08:36.520
<v Speaker 6>And that he even said that on his latest proposal.

0:08:36.640 --> 0:08:39.520
<v Speaker 6>Mark Andresam told him no, Yeah, that's interesting. I'm not

0:08:39.559 --> 0:08:42.360
<v Speaker 6>sure Masayoshi Son ever told him no. And then the

0:08:42.440 --> 0:08:46.640
<v Speaker 6>third thing was I wanted to know from him how

0:08:46.720 --> 0:08:50.400
<v Speaker 6>he was different as a CEO. And he mentioned the board,

0:08:50.679 --> 0:08:52.760
<v Speaker 6>and he also mentioned the advice that Jeff Bezos had

0:08:52.800 --> 0:08:56.840
<v Speaker 6>given him to always talk last in a meeting because

0:08:56.880 --> 0:08:59.320
<v Speaker 6>otherwise you're gonna kind of pollute the water and sway

0:08:59.360 --> 0:08:59.959
<v Speaker 6>people's opinion.

0:09:00.440 --> 0:09:02.600
<v Speaker 5>And I said, are you able to follow that advice

0:09:02.960 --> 0:09:04.120
<v Speaker 5>to go well?

0:09:04.880 --> 0:09:07.079
<v Speaker 6>And his CFO was sitting in the audience and gave

0:09:07.160 --> 0:09:09.400
<v Speaker 6>us a kind of half hearted thumbs up.

0:09:09.720 --> 0:09:10.839
<v Speaker 5>So maybe something to work on.

0:09:11.320 --> 0:09:13.719
<v Speaker 2>So do you see him pulling off that we work

0:09:13.720 --> 0:09:14.440
<v Speaker 2>out of bankruptcy.

0:09:15.200 --> 0:09:18.480
<v Speaker 5>I don't know if he will win that deal. I

0:09:18.600 --> 0:09:18.920
<v Speaker 5>think that.

0:09:21.960 --> 0:09:25.800
<v Speaker 6>You know, the creditors are are required and it is

0:09:26.120 --> 0:09:29.240
<v Speaker 6>in their personal interest to get the most money for

0:09:29.360 --> 0:09:31.240
<v Speaker 6>the death that exists and to bring the company out

0:09:31.280 --> 0:09:34.959
<v Speaker 6>of the bankruptcy. And the fact that they've chosen this

0:09:35.120 --> 0:09:37.920
<v Speaker 6>other path suggests to me, and I haven't really looked

0:09:37.960 --> 0:09:40.160
<v Speaker 6>at it, but that it may be a more complicated

0:09:40.240 --> 0:09:43.240
<v Speaker 6>picture that Adam has presented and that it may not

0:09:43.520 --> 0:09:47.800
<v Speaker 6>only be about a popularity contest. And I also asked

0:09:47.840 --> 0:09:50.760
<v Speaker 6>him to explain to me why we work should be

0:09:50.880 --> 0:09:54.160
<v Speaker 6>in flow and whether it was just a personal mission

0:09:54.200 --> 0:09:54.720
<v Speaker 6>of redemption.

0:09:55.559 --> 0:09:56.760
<v Speaker 5>And I wasn't sure.

0:09:56.800 --> 0:10:00.160
<v Speaker 6>I really believe, you know, fully believed that those two

0:10:00.240 --> 0:10:03.240
<v Speaker 6>companies belong together and that it wasn't a little emotional

0:10:03.320 --> 0:10:03.560
<v Speaker 6>for him.

0:10:03.600 --> 0:10:04.400
<v Speaker 5>In fact, he said that it.

0:10:04.559 --> 0:10:05.200
<v Speaker 8>Was so.

0:10:06.840 --> 0:10:09.520
<v Speaker 6>You know, and maybe there are personal reasons the quest

0:10:09.640 --> 0:10:12.400
<v Speaker 6>that they don't want to resell we work to Adam Newman.

0:10:12.640 --> 0:10:14.880
<v Speaker 5>We can all imagine what they are. He wasn't you know?

0:10:15.000 --> 0:10:17.800
<v Speaker 6>He the company had problems under his leadership, and the

0:10:17.920 --> 0:10:20.920
<v Speaker 6>question is are those personal reasons do they meet a

0:10:21.000 --> 0:10:21.880
<v Speaker 6>valid legal test?

0:10:22.400 --> 0:10:24.480
<v Speaker 3>You know, it's fascinating think about the pandemic and how

0:10:24.520 --> 0:10:28.559
<v Speaker 3>we're rethinking how we work and what kind of office space.

0:10:28.400 --> 0:10:29.280
<v Speaker 4>Is ultimately needed.

0:10:29.360 --> 0:10:32.800
<v Speaker 3>Like his thinking about this concept of having flexible workspace

0:10:32.880 --> 0:10:33.440
<v Speaker 3>like as you need.

0:10:33.480 --> 0:10:38.360
<v Speaker 4>It wasn't so far fetched. It's just timing and maybe execution.

0:10:38.600 --> 0:10:40.079
<v Speaker 6>And I mean I would say this, I think that

0:10:40.160 --> 0:10:43.400
<v Speaker 6>the history of real estate is and you know, Donald

0:10:43.440 --> 0:10:46.240
<v Speaker 6>Trump has exhibit A is a is a history of

0:10:46.960 --> 0:10:49.800
<v Speaker 6>ups and downs, bubbles and crashes.

0:10:49.960 --> 0:10:51.320
<v Speaker 5>We're seeing in China right now.

0:10:51.480 --> 0:10:54.160
<v Speaker 6>Business Week we did a list of all the billionaires

0:10:54.200 --> 0:10:56.760
<v Speaker 6>that have lost everything betting on the Chinese.

0:10:56.800 --> 0:10:57.920
<v Speaker 5>So that's no different.

0:10:58.400 --> 0:11:00.920
<v Speaker 6>But you know the difference is he voted a little higher,

0:11:01.520 --> 0:11:04.599
<v Speaker 6>wrapped in a mantle of being a technology company and

0:11:04.840 --> 0:11:06.920
<v Speaker 6>trying to take a public as a tech company, and

0:11:07.000 --> 0:11:10.199
<v Speaker 6>then wrote it even lower because investors ultimately.

0:11:09.880 --> 0:11:10.800
<v Speaker 2>Didn't buy the visual.

0:11:11.000 --> 0:11:11.920
<v Speaker 4>Can I talk about.

0:11:14.600 --> 0:11:14.840
<v Speaker 7>Robot?

0:11:16.040 --> 0:11:21.760
<v Speaker 6>Yes, this is a humanoid robot developed by Engineered Arts,

0:11:21.840 --> 0:11:25.839
<v Speaker 6>a company in Cornwall, England. I'm about to go in

0:11:25.920 --> 0:11:30.079
<v Speaker 6>a either a career high or a career low. I'm

0:11:30.120 --> 0:11:32.600
<v Speaker 6>going to go on stage and interview the robot.

0:11:32.800 --> 0:11:34.920
<v Speaker 2>So it's going to answer your questions in real time.

0:11:35.120 --> 0:11:42.160
<v Speaker 6>Yes, yeah, yeah, it's a creepily human like It speaks

0:11:42.200 --> 0:11:45.959
<v Speaker 6>and I presume should be addressed as a female.

0:11:47.640 --> 0:11:48.280
<v Speaker 7>That's a choice.

0:11:48.880 --> 0:11:53.520
<v Speaker 5>That's a choice, and it's really remarkably I wouldn't say it's.

0:11:53.400 --> 0:11:56.720
<v Speaker 7>Lifelike, but because I did address it, I did some tests.

0:11:56.760 --> 0:12:01.200
<v Speaker 6>It's expressive and it's design to make people feel comfortable

0:12:01.200 --> 0:12:03.160
<v Speaker 6>with it. It's very it's to me, even though it's

0:12:03.200 --> 0:12:06.199
<v Speaker 6>a British project, it very much reminds me of the

0:12:06.360 --> 0:12:10.559
<v Speaker 6>Japanese bipedal robots or the past that Sony and Samsung

0:12:10.640 --> 0:12:13.440
<v Speaker 6>and they were always working on them. The Japanese love

0:12:13.520 --> 0:12:14.800
<v Speaker 6>their their bipedal robots.

0:12:15.120 --> 0:12:18.040
<v Speaker 2>It's certainly like it's it's incredible novelty. But we should

0:12:18.080 --> 0:12:20.640
<v Speaker 2>know that there are lots of companies working on robots

0:12:20.720 --> 0:12:23.959
<v Speaker 2>like this to help in warehouses. Think about what it

0:12:24.000 --> 0:12:25.880
<v Speaker 2>would you do a company like Amazon to be able

0:12:25.920 --> 0:12:26.520
<v Speaker 2>to have you.

0:12:26.559 --> 0:12:27.920
<v Speaker 7>Know, this am a coon.

0:12:28.960 --> 0:12:31.959
<v Speaker 6>I hope at least does not move because if you

0:12:32.040 --> 0:12:35.560
<v Speaker 6>see me running across the stam, I don't know, uh

0:12:35.960 --> 0:12:39.880
<v Speaker 6>that it's an ambulatory Uh yeah, now I could ask

0:12:39.920 --> 0:12:42.240
<v Speaker 6>and it's running chat GPT for Turbo.

0:12:42.840 --> 0:12:43.600
<v Speaker 9>So I think that's.

0:12:43.480 --> 0:12:45.760
<v Speaker 2>Interesting that, So explain what that means.

0:12:45.840 --> 0:12:50.920
<v Speaker 6>Like it's essentially that engineered arts has developed the machine,

0:12:51.559 --> 0:12:56.360
<v Speaker 6>but the brains are borrowed using the API of open.

0:12:56.200 --> 0:12:57.240
<v Speaker 5>AI and chat GPT.

0:12:57.720 --> 0:13:00.880
<v Speaker 6>Well that's interesting going forward that maybe robot makers don't

0:13:00.960 --> 0:13:05.920
<v Speaker 6>need to worry as much about main general intelligence, but

0:13:06.040 --> 0:13:09.280
<v Speaker 6>they get hooked into one of these large models, use

0:13:09.360 --> 0:13:13.880
<v Speaker 6>the API, and they can they can be more engineering

0:13:13.960 --> 0:13:16.560
<v Speaker 6>companies that think about things like how the joints work,

0:13:16.640 --> 0:13:19.720
<v Speaker 6>how balance works, as you mentioned Caro, all the expressiveness

0:13:19.760 --> 0:13:20.320
<v Speaker 6>of the robots.

0:13:20.360 --> 0:13:22.240
<v Speaker 2>So what does that mean she's note connected to the

0:13:22.280 --> 0:13:23.120
<v Speaker 2>cloud right now?

0:13:23.559 --> 0:13:23.679
<v Speaker 7>Oh?

0:13:23.800 --> 0:13:26.920
<v Speaker 5>I would imagine that she is. Okay, yeah, well we'll

0:13:26.920 --> 0:13:28.160
<v Speaker 5>see if Wi fi goes down.

0:13:30.600 --> 0:13:32.480
<v Speaker 2>Answer to make sure she's on the right network. Okay,

0:13:32.920 --> 0:13:34.400
<v Speaker 2>I was thinking and I were talking.

0:13:34.240 --> 0:13:35.920
<v Speaker 4>About the hotel. We're saying we're not gonna say where

0:13:35.960 --> 0:13:36.480
<v Speaker 4>it is, but.

0:13:36.520 --> 0:13:39.240
<v Speaker 3>It's like, right, we couldn't get anybody I answer, So

0:13:39.320 --> 0:13:41.520
<v Speaker 3>we could have used Amica to like answer our phone

0:13:41.559 --> 0:13:43.400
<v Speaker 3>call and like help us answer some question.

0:13:43.480 --> 0:13:48.079
<v Speaker 2>There is the conference, which is like huge, Well that's

0:13:48.080 --> 0:13:48.280
<v Speaker 2>the thing.

0:13:48.360 --> 0:13:50.280
<v Speaker 7>It's like you would need Amica to do that.

0:13:50.480 --> 0:13:53.439
<v Speaker 6>You would need an Alexa or chatch BT, right, and

0:13:53.600 --> 0:13:57.200
<v Speaker 6>then and then robots can just be these physical things.

0:13:57.679 --> 0:13:59.719
<v Speaker 6>And and the question is do we really need a

0:13:59.760 --> 0:14:02.520
<v Speaker 6>buy pedal robot that's trying to trick us into being

0:14:02.720 --> 0:14:06.080
<v Speaker 6>thinking that it's human or will they be Timmy mentioned

0:14:06.120 --> 0:14:10.800
<v Speaker 6>industrial robots, you know, little things that do very specific tasks,

0:14:11.120 --> 0:14:14.120
<v Speaker 6>deliver the mail, deliver packages, that kind of thing.

0:14:14.240 --> 0:14:17.240
<v Speaker 3>Hey, can I ask you what's the biggest I don't know,

0:14:17.600 --> 0:14:20.720
<v Speaker 3>I know AI like as you go through today, like

0:14:20.880 --> 0:14:23.520
<v Speaker 3>what are you looking for a question to be answered?

0:14:23.600 --> 0:14:25.720
<v Speaker 3>Or something like I think you know so much this world,

0:14:26.160 --> 0:14:27.000
<v Speaker 3>there's something top of.

0:14:27.040 --> 0:14:27.560
<v Speaker 7>Mind for you.

0:14:27.880 --> 0:14:29.520
<v Speaker 5>I mean, I think we all want to know, like

0:14:30.000 --> 0:14:33.600
<v Speaker 5>where it's going. I guess specifically, we've seen it.

0:14:34.160 --> 0:14:39.920
<v Speaker 6>Since the September of twenty twenty two, every successive models

0:14:40.520 --> 0:14:42.640
<v Speaker 6>of chat GBT or any of these other.

0:14:45.400 --> 0:14:49.160
<v Speaker 5>Chatbots has been step change improvements.

0:14:49.080 --> 0:14:51.880
<v Speaker 6>Fed by more and more data and more and more

0:14:52.120 --> 0:14:55.440
<v Speaker 6>processing and power and money running on in video chips.

0:14:55.480 --> 0:14:58.720
<v Speaker 5>So my question is is that going to continue or are.

0:14:58.640 --> 0:15:01.200
<v Speaker 6>We hitting a natural limit, either in the money that

0:15:01.280 --> 0:15:05.480
<v Speaker 6>we could spend, the train, the available processors, or or

0:15:05.720 --> 0:15:08.240
<v Speaker 6>just the model matches out all right and it's not

0:15:08.640 --> 0:15:10.560
<v Speaker 6>giving us step change improvements anymore.

0:15:10.840 --> 0:15:11.960
<v Speaker 4>Good stuff from Bradstone.

0:15:12.000 --> 0:15:15.120
<v Speaker 3>As always, We've got more, including we're to continue with AI.

0:15:15.280 --> 0:15:16.480
<v Speaker 2>Folks, this is Bloomberg.

0:15:19.280 --> 0:15:22.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:15:22.840 --> 0:15:26.040
<v Speaker 1>Live weekday afternoons from two to five pm Eastern Listen

0:15:26.120 --> 0:15:26.800
<v Speaker 1>on Apple.

0:15:26.600 --> 0:15:28.240
<v Speaker 2>Car Play and then Broyt Auto with.

0:15:28.240 --> 0:15:31.320
<v Speaker 1>A Bloomberg Business act or want us live on YouTube?

0:15:34.920 --> 0:15:37.480
<v Speaker 2>Still give value? No question buzzing about AI. We've been

0:15:37.520 --> 0:15:41.080
<v Speaker 2>talking about it. But venture capital dealmaking, Carol, it's still suppressed.

0:15:41.120 --> 0:15:43.840
<v Speaker 2>I got some stats here. Here's some numbers. Okay here

0:15:43.880 --> 0:15:46.840
<v Speaker 2>in the US VC's thirty six point six billion into

0:15:46.840 --> 0:15:48.640
<v Speaker 2>startups in the first quarter of the year. That's according

0:15:48.640 --> 0:15:51.400
<v Speaker 2>to Pitchbook. The funding went to twenty eight hundred companies.

0:15:51.800 --> 0:15:54.840
<v Speaker 2>On both measures, it's a nearly thirty percent decrease compared

0:15:54.880 --> 0:15:56.840
<v Speaker 2>with the same period in twenty twenty throws three. So

0:15:56.960 --> 0:16:00.320
<v Speaker 2>the takeaways startups had their worst funding your last year

0:16:00.720 --> 0:16:04.080
<v Speaker 2>since twenty nineteen. This year it's starting off even worse.

0:16:04.200 --> 0:16:06.120
<v Speaker 3>So despite of the excitement, Well, we've got a great

0:16:06.160 --> 0:16:08.120
<v Speaker 3>boys to really talk to us about the startup community.

0:16:08.600 --> 0:16:09.960
<v Speaker 4>Alien Lee is with us.

0:16:10.040 --> 0:16:12.280
<v Speaker 3>She's the founder and managing partner of the VC firm

0:16:12.320 --> 0:16:15.880
<v Speaker 3>Cowboy Ventures. They invest mostly in software companies based here

0:16:15.920 --> 0:16:18.080
<v Speaker 3>in the US. We should say that her firm has

0:16:18.680 --> 0:16:22.240
<v Speaker 3>made more than one hundred early stage investments, specializing in

0:16:22.320 --> 0:16:23.000
<v Speaker 3>seed rounds.

0:16:23.440 --> 0:16:25.720
<v Speaker 4>She's on site with us. The other thing is she

0:16:26.400 --> 0:16:28.040
<v Speaker 4>has done the data analysis.

0:16:28.120 --> 0:16:30.760
<v Speaker 3>That is the reason we use the word unicorn when

0:16:30.800 --> 0:16:31.880
<v Speaker 3>it comes to startups.

0:16:33.200 --> 0:16:34.600
<v Speaker 4>We love data here at Bloomberg.

0:16:34.760 --> 0:16:35.240
<v Speaker 5>How are you.

0:16:35.480 --> 0:16:37.480
<v Speaker 4>I am so happy to be here. We'll tell us

0:16:37.480 --> 0:16:39.400
<v Speaker 4>about the VC world, Like give us an idea. It's

0:16:39.440 --> 0:16:41.600
<v Speaker 4>a great indicator in terms of the health of the economy.

0:16:41.920 --> 0:16:44.760
<v Speaker 8>So we just finished a panel myself, Kirsten Green and

0:16:44.920 --> 0:16:49.240
<v Speaker 8>auDA from Base ten with Tom Giles, who's the tech

0:16:49.320 --> 0:16:50.240
<v Speaker 8>editor for Bloomberg Tech I.

0:16:50.520 --> 0:16:51.840
<v Speaker 4>We talked about what's going on.

0:16:52.040 --> 0:16:55.440
<v Speaker 8>So, like you mentioned, we had a big slowdown last year.

0:16:55.480 --> 0:16:58.160
<v Speaker 8>A lot of people put their pencils down. They're both

0:16:58.360 --> 0:17:00.320
<v Speaker 8>like it felt like there was a falling night in

0:17:00.440 --> 0:17:03.440
<v Speaker 8>terms of public markets, which obviously affects the private markets,

0:17:04.200 --> 0:17:05.760
<v Speaker 8>and so people said it's not a great time to

0:17:05.840 --> 0:17:07.440
<v Speaker 8>be investing in private companies.

0:17:08.480 --> 0:17:09.480
<v Speaker 4>I do think that we're.

0:17:09.320 --> 0:17:12.160
<v Speaker 8>Seeing quite a pick up this year, but it's largely

0:17:12.240 --> 0:17:15.359
<v Speaker 8>driven by AI, which is great. It's very exciting. It

0:17:15.480 --> 0:17:18.800
<v Speaker 8>is the new hotness in venture capital. So you just

0:17:18.920 --> 0:17:21.280
<v Speaker 8>have to It can be quite treacherous, I think to

0:17:21.400 --> 0:17:26.919
<v Speaker 8>invest in AI right now because it's you know, obviously

0:17:27.000 --> 0:17:28.920
<v Speaker 8>there's a lot of energy right now. We're kind of

0:17:28.960 --> 0:17:31.560
<v Speaker 8>in a consolidation phase, and for very good reasons, right

0:17:31.600 --> 0:17:35.680
<v Speaker 8>with whether it's Microsoft or Meta or Salesforce or Service.

0:17:35.400 --> 0:17:36.760
<v Speaker 7>Now or Google.

0:17:37.560 --> 0:17:39.639
<v Speaker 8>You need a lot of open AI, you need a

0:17:39.720 --> 0:17:42.680
<v Speaker 8>lot of money, you need a lot of GPU, you

0:17:42.760 --> 0:17:45.119
<v Speaker 8>need a lot of engineers, and so there's kind of

0:17:45.200 --> 0:17:47.960
<v Speaker 8>this like techtonic plate war going on in the big

0:17:48.080 --> 0:17:51.080
<v Speaker 8>tech players right now, and so if you've got a

0:17:51.160 --> 0:17:54.240
<v Speaker 8>really big fund, you could try and align your Obviously,

0:17:54.400 --> 0:17:56.359
<v Speaker 8>most of these companies are public companies right so right

0:17:56.680 --> 0:18:00.840
<v Speaker 8>it's a great time for public Nvidia and to be

0:18:00.920 --> 0:18:03.160
<v Speaker 8>a public markets investor to be able to get exposure

0:18:03.240 --> 0:18:06.600
<v Speaker 8>to like the AI that is going to be powering.

0:18:06.800 --> 0:18:09.480
<v Speaker 8>I think most applications for decades to come. But for

0:18:09.880 --> 0:18:12.680
<v Speaker 8>private markets, I think there's just a lot of money

0:18:12.720 --> 0:18:14.440
<v Speaker 8>going into startups, many of whom are.

0:18:14.359 --> 0:18:15.000
<v Speaker 5>Not going to make it.

0:18:15.480 --> 0:18:18.239
<v Speaker 2>So the thing that's interesting about this, and Brad kind

0:18:18.280 --> 0:18:19.720
<v Speaker 2>of alluded to him, we were talking to him, is

0:18:19.760 --> 0:18:22.640
<v Speaker 2>the idea of it's so expensive to have this processing

0:18:22.720 --> 0:18:25.840
<v Speaker 2>power to buy these GPOs. Yeah, and it's not as

0:18:25.880 --> 0:18:28.879
<v Speaker 2>easy as you know, ten fifteen years ago creating an

0:18:28.920 --> 0:18:31.440
<v Speaker 2>app yeah, and building a network, yeah, which was sort

0:18:31.480 --> 0:18:34.800
<v Speaker 2>of what we saw venture capital support in that generation.

0:18:34.960 --> 0:18:35.160
<v Speaker 7>Yeah.

0:18:35.920 --> 0:18:37.280
<v Speaker 9>Is there a concern that you.

0:18:37.280 --> 0:18:40.000
<v Speaker 2>Know, you do early stages, yeah investing, you do seed startups,

0:18:40.440 --> 0:18:44.600
<v Speaker 2>your seed investing. Is there a concern that these companies

0:18:45.200 --> 0:18:47.600
<v Speaker 2>just can't raise the capitol in order to subsport them.

0:18:47.680 --> 0:18:50.600
<v Speaker 8>So there are large models that the big technology companies

0:18:50.640 --> 0:18:52.840
<v Speaker 8>are investing in that have billions of parameters that you

0:18:53.040 --> 0:18:57.200
<v Speaker 8>need billions of dollars for GPOs. We have been investing

0:18:57.240 --> 0:18:59.760
<v Speaker 8>at Cowboy Ventures, as you mentioned, we're seed stage investors.

0:19:00.359 --> 0:19:04.200
<v Speaker 8>Our first AI driven enterprise software companies we invested in

0:19:04.240 --> 0:19:06.560
<v Speaker 8>eight years ago, where it's they use what we call

0:19:06.640 --> 0:19:08.440
<v Speaker 8>small model where they don't need.

0:19:08.400 --> 0:19:09.320
<v Speaker 4>To buy GPUs.

0:19:09.440 --> 0:19:12.920
<v Speaker 8>They basically get a proprietary data set. In that case,

0:19:12.960 --> 0:19:15.760
<v Speaker 8>the company's called text You, and we basically got HR

0:19:16.520 --> 0:19:20.440
<v Speaker 8>related documents, jobs, pecs, performance reviews, and we train the

0:19:20.560 --> 0:19:27.920
<v Speaker 8>AI using very situational specific parameters to basically understand how

0:19:28.160 --> 0:19:30.520
<v Speaker 8>it can help people write performance reviews more effectively, how

0:19:30.560 --> 0:19:32.520
<v Speaker 8>it can help people write job specs more effectively. And

0:19:32.560 --> 0:19:35.200
<v Speaker 8>you just don't need the giant GPU to be able

0:19:35.280 --> 0:19:37.520
<v Speaker 8>to do that work. And then also a lot of

0:19:37.560 --> 0:19:40.359
<v Speaker 8>it is around how you solve the problem for everyday

0:19:40.359 --> 0:19:42.840
<v Speaker 8>business users instead of them using Google Docs or word

0:19:42.920 --> 0:19:44.280
<v Speaker 8>you need to figure out how would I get into

0:19:44.320 --> 0:19:47.159
<v Speaker 8>their workflow, whether it's through workday or lattice, and how

0:19:47.200 --> 0:19:50.200
<v Speaker 8>do I actually create those integrations so that the way

0:19:50.320 --> 0:19:53.040
<v Speaker 8>that the AI can be in the business process of

0:19:53.160 --> 0:19:56.120
<v Speaker 8>every day people inside the enterprise. And so I think

0:19:56.200 --> 0:20:02.000
<v Speaker 8>that's those kinds of business or industry specific applications.

0:20:02.080 --> 0:20:04.360
<v Speaker 4>You don't need billions of dollars to build those applications.

0:20:04.400 --> 0:20:06.320
<v Speaker 4>But is that scalable Okay, I'm listening to you. Is

0:20:06.359 --> 0:20:11.480
<v Speaker 4>that scalable elsewhere elsewhere? Meaning other industries like that mod completely.

0:20:11.600 --> 0:20:13.560
<v Speaker 8>So we're seeing I think a lot of what's the

0:20:14.240 --> 0:20:17.240
<v Speaker 8>app there's the application layer and there's infrastructure, right, so

0:20:17.280 --> 0:20:20.320
<v Speaker 8>there's money going into both at the application layer.

0:20:20.400 --> 0:20:23.679
<v Speaker 4>That's where a lot of VC funds are playing right now.

0:20:24.200 --> 0:20:26.360
<v Speaker 8>And it makes a lot of sense because so many

0:20:26.400 --> 0:20:29.400
<v Speaker 8>people in whether it's the food and beverage industry, in hospitals,

0:20:29.880 --> 0:20:33.320
<v Speaker 8>in education, people are still using pen paper spreadsheets. They're

0:20:33.359 --> 0:20:36.399
<v Speaker 8>not actually leveraging the underlying data, and the applications that

0:20:36.520 --> 0:20:38.920
<v Speaker 8>use every day are not smart. And so I think

0:20:38.960 --> 0:20:42.520
<v Speaker 8>there's pretty much every industry and every application that we

0:20:43.320 --> 0:20:45.800
<v Speaker 8>look at today is going to have new applications that

0:20:45.840 --> 0:20:46.639
<v Speaker 8>are powered by AI.

0:20:46.800 --> 0:20:48.400
<v Speaker 4>So it is a tremendous opportunity.

0:20:48.600 --> 0:20:51.560
<v Speaker 2>Okay, I'm speaking of opportunities. I'm wondering what's more difficult

0:20:51.760 --> 0:20:54.280
<v Speaker 2>in this world where cash can earn four and a

0:20:54.320 --> 0:20:59.440
<v Speaker 2>half to five per tails. That's an opportunity. Yeah, what's

0:20:59.520 --> 0:21:00.000
<v Speaker 2>harder right now?

0:21:00.119 --> 0:21:00.239
<v Speaker 10>Now?

0:21:00.480 --> 0:21:02.760
<v Speaker 2>Is it harder to go raise money from investors to

0:21:02.840 --> 0:21:05.320
<v Speaker 2>then deploy yeah, or is it harder to find the

0:21:05.400 --> 0:21:07.400
<v Speaker 2>companies to deploy that money into.

0:21:08.560 --> 0:21:11.400
<v Speaker 8>We're very fortunate, you know, we're pretty disciplined. Fun We've

0:21:11.400 --> 0:21:13.440
<v Speaker 8>been around for over ten years now. We've had pretty

0:21:13.480 --> 0:21:16.080
<v Speaker 8>much the same investors or what we call LP Limited

0:21:16.119 --> 0:21:18.399
<v Speaker 8>Partners for pretty much the ten years, so we're very

0:21:18.480 --> 0:21:22.640
<v Speaker 8>fortunate and they are savvy investors who understand the upside

0:21:22.680 --> 0:21:25.240
<v Speaker 8>of investing in venture capital firms and they know it's

0:21:25.240 --> 0:21:28.320
<v Speaker 8>a ten to fifteen year investment. So fortunately for us,

0:21:28.560 --> 0:21:31.200
<v Speaker 8>it's definitely gotten harder, and it's I think in many

0:21:31.240 --> 0:21:34.160
<v Speaker 8>ways it's good because it holds us very accountable. It's

0:21:34.240 --> 0:21:36.280
<v Speaker 8>like there are benchmarks that you have to beat to

0:21:36.359 --> 0:21:38.320
<v Speaker 8>be worth investing in, and that's our job is to

0:21:38.359 --> 0:21:41.000
<v Speaker 8>make sure that we beat those benchmarks fund after fun

0:21:42.520 --> 0:21:45.440
<v Speaker 8>and also we raise every three years or every four years,

0:21:45.520 --> 0:21:47.800
<v Speaker 8>so you know, you raise the fund and then you

0:21:47.880 --> 0:21:50.080
<v Speaker 8>have three years to basically go find some great investments.

0:21:50.119 --> 0:21:53.040
<v Speaker 8>So that's the it's gotten quite competitive in private markets.

0:21:53.200 --> 0:21:55.280
<v Speaker 8>A ton of money flooded in in twenty twenty, twenty

0:21:55.320 --> 0:21:57.399
<v Speaker 8>twenty one, and it's probably not going to it's not

0:21:57.480 --> 0:21:59.920
<v Speaker 8>going to recede, and so there's just more money chase

0:22:00.000 --> 0:22:01.440
<v Speaker 8>saying private companies than ever.

0:22:01.760 --> 0:22:03.840
<v Speaker 3>One thing I wanted to ask you, Aleen, is what's

0:22:04.280 --> 0:22:08.119
<v Speaker 3>with all the attention on AI where what's being neglected

0:22:08.200 --> 0:22:10.240
<v Speaker 3>maybe in the venture world or where do you think

0:22:10.320 --> 0:22:12.200
<v Speaker 3>we should also be thinking about when it comes to

0:22:12.359 --> 0:22:13.200
<v Speaker 3>tech innovation.

0:22:13.840 --> 0:22:16.640
<v Speaker 4>I mean, I do think, oh, that's a really good question.

0:22:18.800 --> 0:22:21.760
<v Speaker 4>I think the big boom when interest.

0:22:21.600 --> 0:22:24.480
<v Speaker 8>Rates were basically zero in twenty twenty and twenty twenty one,

0:22:25.119 --> 0:22:28.320
<v Speaker 8>it brought so much attention to the venture capital and

0:22:28.359 --> 0:22:31.560
<v Speaker 8>technology world that actually what we would have considered long

0:22:31.680 --> 0:22:36.720
<v Speaker 8>tail markets parking garages, like companies selling software to parking garages.

0:22:36.320 --> 0:22:36.840
<v Speaker 4>Got funded.

0:22:36.960 --> 0:22:39.880
<v Speaker 8>Like the Unicorn analysis that we did in twenty thirteen

0:22:40.440 --> 0:22:43.879
<v Speaker 8>versus twenty twenty three showed a huge difference in the

0:22:43.920 --> 0:22:47.840
<v Speaker 8>amount of money that's going to industry specific software whether

0:22:47.920 --> 0:22:50.520
<v Speaker 8>and so in the original Unicorn analysis in twenty thirteen,

0:22:50.520 --> 0:22:52.439
<v Speaker 8>it was actually, it's quite interesting how it flip flopped

0:22:52.600 --> 0:22:56.760
<v Speaker 8>eighty percent consumer companies and twenty percent enterprise software companies.

0:22:57.160 --> 0:22:59.480
<v Speaker 8>Ten years later it foot flopped and became eighty percent

0:22:59.640 --> 0:23:03.640
<v Speaker 8>enterprise twenty percent consumer. And so in those enterprise you've

0:23:03.640 --> 0:23:07.320
<v Speaker 8>got climate tech companies, you've got agriculture companies, you've got

0:23:07.520 --> 0:23:11.440
<v Speaker 8>companies serving parking garages. So entrepreneurs especially, I think since

0:23:11.480 --> 0:23:14.600
<v Speaker 8>the iPhone debuted in two thousand and seven, pretty much

0:23:14.880 --> 0:23:18.240
<v Speaker 8>everyone in the modern world understands the power of technology,

0:23:18.600 --> 0:23:21.760
<v Speaker 8>and so if they work in a coord if they

0:23:21.880 --> 0:23:25.760
<v Speaker 8>work in at a nursing station, they understand how much

0:23:25.800 --> 0:23:27.920
<v Speaker 8>inefficiency there is and how much opportunity there is for

0:23:28.040 --> 0:23:30.600
<v Speaker 8>technology to actually reinvent the way they do things and

0:23:30.760 --> 0:23:31.600
<v Speaker 8>let humans.

0:23:31.359 --> 0:23:34.080
<v Speaker 4>Do what they do best better. Waiting for health care

0:23:34.760 --> 0:23:36.120
<v Speaker 4>to really embrace.

0:23:35.800 --> 0:23:39.800
<v Speaker 2>Technology, keep waiting. You know, if you need give you a.

0:23:39.880 --> 0:23:42.040
<v Speaker 4>Chip information, I'm ready to do that.

0:23:42.160 --> 0:23:43.800
<v Speaker 2>I actually am. If you need a copy of the

0:23:43.960 --> 0:23:47.600
<v Speaker 2>X ray, here's a CD ROW. I'm not joking. Earlier today,

0:23:47.840 --> 0:23:50.639
<v Speaker 2>that's still the way like ten back then.

0:23:50.640 --> 0:23:54.560
<v Speaker 8>Ode posts Let's speak earlier today with Emily Chang, and

0:23:54.640 --> 0:23:57.720
<v Speaker 8>he was saying that the thing that he's going to

0:23:57.760 --> 0:24:02.040
<v Speaker 8>tell President Biden tomorrow is that every person should have

0:24:02.160 --> 0:24:05.080
<v Speaker 8>a personal doctor and every case to have a personal

0:24:05.119 --> 0:24:08.080
<v Speaker 8>tudor tutor, and that that would reinvent both education and

0:24:08.280 --> 0:24:09.679
<v Speaker 8>lighters and it.

0:24:09.680 --> 0:24:10.280
<v Speaker 4>Would be amazing.

0:24:11.760 --> 0:24:15.600
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:24:15.720 --> 0:24:18.520
<v Speaker 1>each weekday starting at two pm Eastern on Apple car

0:24:18.640 --> 0:24:21.560
<v Speaker 1>Play and Android Auto with the Bloomberg Business Ad. You

0:24:21.640 --> 0:24:24.880
<v Speaker 1>can also listen live on Amazon Alexa from our flagship

0:24:24.960 --> 0:24:29.040
<v Speaker 1>New York station, Just Say Alexa, playing Bloomberg eleven thirty.

0:24:30.480 --> 0:24:33.639
<v Speaker 2>Well Tick Ventures is a free seed and seed venture

0:24:33.680 --> 0:24:37.040
<v Speaker 2>capital firm. It focuses on investing in demographic changes that

0:24:37.160 --> 0:24:40.360
<v Speaker 2>are driven by tomorrow's Internet users. So what that means

0:24:40.359 --> 0:24:42.440
<v Speaker 2>as far as where they put their money. There's a

0:24:42.440 --> 0:24:44.639
<v Speaker 2>company out there called Raars where you can invest in

0:24:44.680 --> 0:24:49.200
<v Speaker 2>sneakers and collectibles. Right. It's an aipowered workforce training platform,

0:24:49.640 --> 0:24:52.160
<v Speaker 2>and then it comes to be behavioral health. The platform

0:24:52.280 --> 0:24:55.160
<v Speaker 2>is called it most days. That's among other investments ADMD.

0:24:55.320 --> 0:24:56.600
<v Speaker 4>I love the idea of demographics.

0:24:56.640 --> 0:24:58.359
<v Speaker 3>I really think it's kind of figure out what are

0:24:58.400 --> 0:25:01.040
<v Speaker 3>the trends not only today but really more importantly up

0:25:01.040 --> 0:25:03.960
<v Speaker 3>tomorrow with us right now is Monique Woodward. She's founding

0:25:04.040 --> 0:25:07.360
<v Speaker 3>partner managing partner at Cake Vners. Welcome, Welcome, so nice

0:25:07.400 --> 0:25:08.159
<v Speaker 3>to be talking with you.

0:25:08.440 --> 0:25:09.639
<v Speaker 4>Thank you, thanks for having me.

0:25:09.960 --> 0:25:12.080
<v Speaker 3>When you think about demographics, right, so you can dice

0:25:12.119 --> 0:25:14.200
<v Speaker 3>and slice that, we make so many different ways. What

0:25:14.280 --> 0:25:16.399
<v Speaker 3>are the demographics that you really like to focus on

0:25:16.520 --> 0:25:17.520
<v Speaker 3>in today's environment?

0:25:18.240 --> 0:25:21.440
<v Speaker 11>So the Cake Venture's thesis around demographics is really based

0:25:21.480 --> 0:25:24.560
<v Speaker 11>on a few different layers. The first layer is aging

0:25:24.600 --> 0:25:28.320
<v Speaker 11>and longevity. There's ten thousand people turning sixty five every

0:25:28.400 --> 0:25:31.439
<v Speaker 11>single day in this country alone. And there's this massive

0:25:31.480 --> 0:25:34.480
<v Speaker 11>opportunity to help them use technology to make their lives

0:25:34.560 --> 0:25:36.960
<v Speaker 11>better as a age. The second layer of the cake

0:25:37.080 --> 0:25:38.840
<v Speaker 11>is the increased spending power of women and how the

0:25:38.920 --> 0:25:42.720
<v Speaker 11>female dollar drives companies to billion dollar plus outcomes. And

0:25:42.800 --> 0:25:45.400
<v Speaker 11>then the third is the shift to majority minority, where

0:25:45.440 --> 0:25:49.320
<v Speaker 11>people of color as a broad group, primarily Latino, Asian

0:25:49.359 --> 0:25:52.119
<v Speaker 11>and Black, becoming majority in the United States, are already

0:25:52.160 --> 0:25:53.000
<v Speaker 11>a global majority.

0:25:53.720 --> 0:25:56.359
<v Speaker 4>You know, it's really fascinating. I keep talking about this.

0:25:56.560 --> 0:25:58.080
<v Speaker 4>I was just back from Milkin and I had to

0:25:58.680 --> 0:26:01.800
<v Speaker 4>moderate a panel. It was called Thriving in Distruction.

0:26:02.080 --> 0:26:04.560
<v Speaker 2>Oh, you did several panels, but what was.

0:26:04.560 --> 0:26:05.479
<v Speaker 4>Interesting on our pref call.

0:26:05.560 --> 0:26:07.720
<v Speaker 3>So here I have somebody from real estate, from venture,

0:26:08.200 --> 0:26:12.000
<v Speaker 3>private equity guide, private credit guide, somebody who's in, you know,

0:26:12.119 --> 0:26:14.760
<v Speaker 3>trading every day on a platform over at Citadel Securities,

0:26:15.119 --> 0:26:18.760
<v Speaker 3>and what they wanted to talk about was longevity and

0:26:18.880 --> 0:26:21.040
<v Speaker 3>the aspect of how it's going to impact things like

0:26:21.119 --> 0:26:24.679
<v Speaker 3>pension app obligations, how we live, the kind of housing

0:26:24.760 --> 0:26:27.120
<v Speaker 3>we need, you know, whether we bring older people back

0:26:27.160 --> 0:26:27.960
<v Speaker 3>into the workforce.

0:26:28.560 --> 0:26:29.880
<v Speaker 4>What are the important.

0:26:29.480 --> 0:26:31.840
<v Speaker 3>Conversations that you think we need to be thinking about

0:26:31.880 --> 0:26:34.560
<v Speaker 3>when it comes to longevity and how that shapes specifically

0:26:34.600 --> 0:26:35.280
<v Speaker 3>your investments.

0:26:35.800 --> 0:26:38.800
<v Speaker 11>I think the big conversation right now is around how

0:26:38.840 --> 0:26:39.720
<v Speaker 11>do we live longer?

0:26:40.119 --> 0:26:40.239
<v Speaker 3>Right?

0:26:40.320 --> 0:26:42.800
<v Speaker 4>But I think that's just touching the surface of longevity.

0:26:43.080 --> 0:26:44.679
<v Speaker 4>It's really about how do we use.

0:26:44.560 --> 0:26:49.280
<v Speaker 11>Technology to give people better lives at older ages as

0:26:49.359 --> 0:26:52.040
<v Speaker 11>they get older, right, how do we use technology to

0:26:52.240 --> 0:26:55.480
<v Speaker 11>enhance their lives, help them age in place without moving

0:26:55.560 --> 0:26:59.040
<v Speaker 11>into a nursing home or retirement home, And how do

0:26:59.119 --> 0:27:04.120
<v Speaker 11>we give them better lies after sixty as they had

0:27:04.160 --> 0:27:05.720
<v Speaker 11>when they were in their twenties and thirties.

0:27:06.600 --> 0:27:08.359
<v Speaker 2>I'm wondering about the third theme that you touched on

0:27:08.600 --> 0:27:11.960
<v Speaker 2>in terms of demographics, the idea of investments in companies

0:27:12.680 --> 0:27:14.760
<v Speaker 2>that are not necessarily geared toward people of color. But

0:27:15.320 --> 0:27:18.320
<v Speaker 2>take this demographic into account. Here we are in Silicon Valley,

0:27:18.640 --> 0:27:20.760
<v Speaker 2>not necessarily the most diverse place when it comes to

0:27:20.960 --> 0:27:23.600
<v Speaker 2>where venture capital is deployed. I think that's fair to say,

0:27:24.359 --> 0:27:26.440
<v Speaker 2>how do you think about that in terms of where

0:27:26.480 --> 0:27:28.639
<v Speaker 2>you're putting your money in terms of the opportunities that

0:27:28.720 --> 0:27:31.320
<v Speaker 2>are out there? Because I think a big criticism that

0:27:31.440 --> 0:27:34.160
<v Speaker 2>folks have about ventor capitalist is, you know, they're always

0:27:34.200 --> 0:27:37.040
<v Speaker 2>just trying to solve problems that they have, Like, you know,

0:27:37.680 --> 0:27:39.520
<v Speaker 2>it's true, how do we get to tahoe faster? Right

0:27:39.760 --> 0:27:42.960
<v Speaker 2>to get to get a skew day out. I'm not

0:27:43.040 --> 0:27:45.159
<v Speaker 2>trying to be dismissive, but I mean it's like, you know,

0:27:45.280 --> 0:27:47.520
<v Speaker 2>it's like common criticism.

0:27:47.720 --> 0:27:49.399
<v Speaker 11>So one of the categories that I do a lot

0:27:49.440 --> 0:27:51.680
<v Speaker 11>of investing in it is the future of deskless work.

0:27:52.119 --> 0:27:55.240
<v Speaker 11>Eighty percent of the labor market is actually deskless work,

0:27:55.359 --> 0:27:57.639
<v Speaker 11>non office work, work that doesn't happen in an office,

0:27:58.000 --> 0:28:03.000
<v Speaker 11>health care jobs, construction jobs, service worker jobs. As you

0:28:03.080 --> 0:28:06.159
<v Speaker 11>might expect, a lot of these jobs over index in

0:28:06.240 --> 0:28:09.200
<v Speaker 11>women and people of color, and so I think that

0:28:09.480 --> 0:28:13.800
<v Speaker 11>AI and new technologies are going to be really important

0:28:14.240 --> 0:28:17.959
<v Speaker 11>in accelerating the adoption of those jobs, but also accelerating

0:28:18.200 --> 0:28:20.920
<v Speaker 11>the efficiency of those jobs. And so I think we're

0:28:20.960 --> 0:28:23.880
<v Speaker 11>at this really important inflection point where we can use

0:28:23.960 --> 0:28:27.320
<v Speaker 11>technology to improve the lives of healthcare workers, improve the

0:28:27.440 --> 0:28:31.159
<v Speaker 11>lives of service workers, and we haven't been doing it

0:28:31.359 --> 0:28:33.840
<v Speaker 11>because to your point, a lot of the people who

0:28:33.880 --> 0:28:37.520
<v Speaker 11>have been building for building technology that they come from

0:28:37.560 --> 0:28:40.840
<v Speaker 11>a knowledge worker background. So their immediate thought is to

0:28:40.920 --> 0:28:45.720
<v Speaker 11>build future work products software for knowledge workers. But these

0:28:45.960 --> 0:28:51.360
<v Speaker 11>massive opportunities have happen in healthcare and construction and manufacturing,

0:28:51.760 --> 0:28:53.520
<v Speaker 11>and those jobs are often held by.

0:28:53.480 --> 0:28:54.080
<v Speaker 7>People of color.

0:28:54.480 --> 0:28:57.480
<v Speaker 3>You know, I'm watching Bradstone up on stage with Amaica

0:28:57.720 --> 0:28:59.920
<v Speaker 3>the robot, and I'm thinking about in terms of how

0:29:00.200 --> 0:29:02.640
<v Speaker 3>care like whether or not there is some way.

0:29:02.800 --> 0:29:04.160
<v Speaker 4>I mean, one of the other trends that came.

0:29:04.080 --> 0:29:06.040
<v Speaker 3>Out of Milkan is that this shortage of health care

0:29:06.120 --> 0:29:08.960
<v Speaker 3>workers in particular, and I do wonder is there some

0:29:09.120 --> 0:29:12.840
<v Speaker 3>way in technology innovation that we can assist.

0:29:12.600 --> 0:29:15.440
<v Speaker 4>Those folks who actually have to do things.

0:29:15.280 --> 0:29:18.280
<v Speaker 3>In care for people, or whether because we're facing shortages

0:29:18.400 --> 0:29:19.680
<v Speaker 3>in a big way in that industry.

0:29:20.760 --> 0:29:23.160
<v Speaker 11>Well, we're already seeing it in companies like a Bridge,

0:29:23.600 --> 0:29:26.800
<v Speaker 11>a Bridge which raises series C in order to use

0:29:26.880 --> 0:29:31.760
<v Speaker 11>conversational as the conversations between healthcare workers and their patients.

0:29:31.720 --> 0:29:34.520
<v Speaker 4>And convert them into usable data.

0:29:35.360 --> 0:29:38.720
<v Speaker 11>So we're already seeing AI being really useful in the

0:29:38.800 --> 0:29:40.000
<v Speaker 11>lives of healthcare workers.

0:29:40.200 --> 0:29:40.320
<v Speaker 8>Right.

0:29:40.960 --> 0:29:44.600
<v Speaker 11>I'm very skeptical about the use of robotics in actual

0:29:44.720 --> 0:29:48.840
<v Speaker 11>patient to patient to healthcare worker interactions, but I do

0:29:49.040 --> 0:29:52.520
<v Speaker 11>think that AI is useful in freeing up the job

0:29:52.560 --> 0:29:55.440
<v Speaker 11>of the healthcare worker in order to make those patient

0:29:55.520 --> 0:29:59.720
<v Speaker 11>interactions much more robust, much more have a lot more depth.

0:30:00.200 --> 0:30:03.960
<v Speaker 11>And so I think we're far away from robots doing

0:30:04.080 --> 0:30:06.640
<v Speaker 11>that job, but I think we're we're in the AI

0:30:06.760 --> 0:30:07.000
<v Speaker 11>doing it.

0:30:07.200 --> 0:30:09.760
<v Speaker 2>I guess also maybe cut down on error too. When

0:30:09.800 --> 0:30:11.720
<v Speaker 2>you're tasked to a doctor. I mean, this is something

0:30:11.720 --> 0:30:14.120
<v Speaker 2>I recently noticed. When you're trying to describe like a

0:30:14.200 --> 0:30:16.440
<v Speaker 2>pain that you're having to a doctor, some sort of symptoms.

0:30:16.680 --> 0:30:19.760
<v Speaker 2>I mean, they're essentially serving the function of AI. What

0:30:19.840 --> 0:30:22.080
<v Speaker 2>they're doing is, you know, they're saying, Okay, well you

0:30:22.160 --> 0:30:24.360
<v Speaker 2>have this, this and this, here's your family history. They're

0:30:24.360 --> 0:30:26.760
<v Speaker 2>taking all these data points and they're trying to diagnose

0:30:26.800 --> 0:30:28.720
<v Speaker 2>you with something that you have. It's so easy to

0:30:28.800 --> 0:30:31.600
<v Speaker 2>see how that could be better served by something in

0:30:31.680 --> 0:30:32.320
<v Speaker 2>the cloud.

0:30:32.280 --> 0:30:35.520
<v Speaker 11>Exactly, or at least augmented in some way augmented. I

0:30:35.560 --> 0:30:37.640
<v Speaker 11>think that's what I think that's what we're looking for

0:30:37.840 --> 0:30:41.080
<v Speaker 11>within healthcare in particular. We are looking for technology to

0:30:41.280 --> 0:30:45.440
<v Speaker 11>augment the already great skills that these nurses, nurse practitioners,

0:30:45.520 --> 0:30:46.520
<v Speaker 11>and doctors already have.

0:30:46.960 --> 0:30:50.720
<v Speaker 4>We're not looking to replace them with robots, but give.

0:30:50.600 --> 0:30:53.280
<v Speaker 11>Them additional tools that make their jobs more efficient and

0:30:53.360 --> 0:30:55.640
<v Speaker 11>allow them to spend more about one on one time

0:30:55.720 --> 0:30:56.240
<v Speaker 11>with patients.

0:30:56.280 --> 0:30:59.400
<v Speaker 4>That's whole idea have adjacent right in terms of AI, Nick,

0:30:59.480 --> 0:31:01.360
<v Speaker 4>thank you so much. We really appreciate you coming by.

0:31:01.520 --> 0:31:03.360
<v Speaker 4>Thank you so much, fatterning time with our audience.

0:31:03.400 --> 0:31:05.000
<v Speaker 3>It's a lot of Nick Woodward g She is founding

0:31:05.040 --> 0:31:07.480
<v Speaker 3>partner and managing partner at Cake Ventures, joining us here

0:31:07.760 --> 0:31:09.560
<v Speaker 3>at the Bloomber of Technology Summit.

0:31:09.640 --> 0:31:13.480
<v Speaker 4>But these are some of the discussions and technologies like figuring.

0:31:13.160 --> 0:31:15.040
<v Speaker 3>Out what does it mean for our workplace? I mean,

0:31:15.080 --> 0:31:16.960
<v Speaker 3>you and I kind of joke about a kid about it.

0:31:17.000 --> 0:31:18.640
<v Speaker 3>But if we could get an assistant kind of writing

0:31:18.680 --> 0:31:19.400
<v Speaker 3>our scripts.

0:31:19.120 --> 0:31:21.480
<v Speaker 4>On otaily basis, I wouldn't mind that.

0:31:22.400 --> 0:31:24.160
<v Speaker 2>I was thinking about that a lot yesterday. I didn't

0:31:24.160 --> 0:31:27.920
<v Speaker 2>get when I was working. But to be fair, I mean,

0:31:27.960 --> 0:31:30.840
<v Speaker 2>you were literally, you know, ten hours of sleep in

0:31:30.920 --> 0:31:32.680
<v Speaker 2>the past four days because of what you were doing.

0:31:32.760 --> 0:31:34.160
<v Speaker 2>But the truth day is, there are a lot of

0:31:34.200 --> 0:31:37.120
<v Speaker 2>repetitive tasks out there. It would be great to see

0:31:37.160 --> 0:31:40.120
<v Speaker 2>some of those be replaced by machines of people. Look,

0:31:40.160 --> 0:31:42.920
<v Speaker 2>I oftentimes think about this conversation in the context of

0:31:43.200 --> 0:31:45.720
<v Speaker 2>other big historical shifts when it comes to the types

0:31:45.760 --> 0:31:47.800
<v Speaker 2>of work that people did one hundred years ago versus

0:31:47.880 --> 0:31:49.800
<v Speaker 2>the type of work we're doing now. Right, we don't

0:31:49.880 --> 0:31:51.600
<v Speaker 2>need a horse and buggy to get us from place

0:31:51.640 --> 0:31:54.680
<v Speaker 2>to place, you know. So what was replaced, you know?

0:31:54.760 --> 0:31:57.160
<v Speaker 2>And what did that allow people to do? What did

0:31:57.200 --> 0:31:58.600
<v Speaker 2>the steam engine allow people to do?

0:31:58.880 --> 0:31:58.920
<v Speaker 8>It?

0:31:59.040 --> 0:32:01.280
<v Speaker 2>Just does this thing stick the way that you know.

0:32:01.360 --> 0:32:02.000
<v Speaker 7>The proponents of it?

0:32:02.480 --> 0:32:04.000
<v Speaker 3>Even to go back that for I think about when

0:32:04.000 --> 0:32:06.000
<v Speaker 3>I started out in journalism, when I needed research, I

0:32:06.040 --> 0:32:08.280
<v Speaker 3>mean was on the phone with folks in the government,

0:32:08.440 --> 0:32:13.240
<v Speaker 3>like Commerce Department, can you FedEx overnight or send me research?

0:32:13.440 --> 0:32:16.080
<v Speaker 2>Really for my reports, like not emailing it to you.

0:32:17.880 --> 0:32:19.520
<v Speaker 3>It's amazing the stuff that I used to get in

0:32:19.600 --> 0:32:21.800
<v Speaker 3>the email And now I just go on the Internet

0:32:21.880 --> 0:32:22.040
<v Speaker 3>and I.

0:32:22.160 --> 0:32:22.840
<v Speaker 4>Just pull it right up.

0:32:22.880 --> 0:32:25.080
<v Speaker 3>So you just think about that transition. It's made my

0:32:25.200 --> 0:32:26.800
<v Speaker 3>job a lot easier. And I do feel like that

0:32:27.000 --> 0:32:29.000
<v Speaker 3>access to information is freeing.

0:32:29.240 --> 0:32:30.360
<v Speaker 4>How infladible that is.

0:32:30.440 --> 0:32:33.400
<v Speaker 3>That's something Elon talked about. He was talking up Starling,

0:32:33.520 --> 0:32:35.960
<v Speaker 3>but he said that's the great leveler in terms of

0:32:36.040 --> 0:32:38.960
<v Speaker 3>creating Internet access to everybody around the world. That means

0:32:39.080 --> 0:32:43.160
<v Speaker 3>everybody can get an education. M I tam cimate forces online.

0:32:42.800 --> 0:32:43.960
<v Speaker 4>Like you think about things like that.

0:32:44.240 --> 0:32:46.880
<v Speaker 3>But I feel like with this next Lettle level of AI,

0:32:46.960 --> 0:32:48.880
<v Speaker 3>I'm not quite so sure about it could be pretty cool.

0:32:49.480 --> 0:32:51.680
<v Speaker 2>Those are the good things that that's good, you know,

0:32:51.760 --> 0:32:53.360
<v Speaker 2>we think and that's what that was the promise of

0:32:53.440 --> 0:32:55.800
<v Speaker 2>the Internet. But look at the Internet's also been used

0:32:55.840 --> 0:32:57.280
<v Speaker 2>for a lot of really bad stuff. I mean, we

0:32:57.360 --> 0:33:00.400
<v Speaker 2>had the cover of Bloomberg business Week recently talk about

0:33:00.440 --> 0:33:04.960
<v Speaker 2>the way that social media platforms are becoming places where

0:33:05.240 --> 0:33:08.520
<v Speaker 2>teenage boys essentially have been held hostage and it's led

0:33:08.560 --> 0:33:10.959
<v Speaker 2>to some really discribbing outcomes. All right, again all as

0:33:11.000 --> 0:33:11.800
<v Speaker 2>a result of the Internet.

0:33:11.880 --> 0:33:14.240
<v Speaker 3>All right, So on two sides to every coin. And

0:33:14.320 --> 0:33:16.440
<v Speaker 3>this is what we want to get into because I'm

0:33:16.480 --> 0:33:19.000
<v Speaker 3>here at the Bloodberg Technology Summit. There's a workshop going on.

0:33:19.080 --> 0:33:21.560
<v Speaker 3>It's called addressing AI Risks in Business, and we have

0:33:21.640 --> 0:33:22.560
<v Speaker 3>a great voice to.

0:33:22.600 --> 0:33:23.360
<v Speaker 4>Talk to us about that.

0:33:23.640 --> 0:33:24.080
<v Speaker 5>Anthony A.

0:33:24.160 --> 0:33:26.280
<v Speaker 4>Giri is executive director of the Future of.

0:33:26.360 --> 0:33:29.120
<v Speaker 3>Life Institute, joining us on site. Thank you so much

0:33:29.280 --> 0:33:31.720
<v Speaker 3>for coming by with us. We are trying to figure

0:33:31.760 --> 0:33:35.840
<v Speaker 3>out technology AI, what it means for our workplace, for

0:33:36.000 --> 0:33:37.120
<v Speaker 3>our life in general.

0:33:37.480 --> 0:33:40.080
<v Speaker 4>What are some of the biggest the biggest facets of

0:33:40.120 --> 0:33:44.040
<v Speaker 4>that discussion or narrative that kind of occupy your mind today.

0:33:45.240 --> 0:33:48.040
<v Speaker 12>I think there are some major challenges that we have

0:33:48.680 --> 0:33:51.400
<v Speaker 12>that AI is presenting us with. One is the issue

0:33:51.480 --> 0:33:54.160
<v Speaker 12>of how are we going to make AI in a

0:33:54.360 --> 0:33:57.760
<v Speaker 12>way that is actually safe and beneficial for society. Right now,

0:33:57.960 --> 0:34:01.160
<v Speaker 12>we have AI systems that are being developed by sort

0:34:01.160 --> 0:34:04.160
<v Speaker 12>of a handful of very large companies, and they're doing

0:34:04.160 --> 0:34:06.760
<v Speaker 12>it in a very competitive way. So each of those

0:34:06.840 --> 0:34:09.919
<v Speaker 12>companies feels like it has to develop the new, better

0:34:10.040 --> 0:34:12.600
<v Speaker 12>system faster than its rivals. Does we even see this

0:34:12.680 --> 0:34:15.120
<v Speaker 12>on the international stage where that you know, the US

0:34:15.200 --> 0:34:17.680
<v Speaker 12>has rhetoric like we have to develop AI faster than

0:34:17.719 --> 0:34:18.880
<v Speaker 12>our geopolitical rivals.

0:34:19.360 --> 0:34:20.600
<v Speaker 9>And this is not the way.

0:34:21.080 --> 0:34:23.600
<v Speaker 12>It's a race, and a race is not the way

0:34:23.680 --> 0:34:25.840
<v Speaker 12>you get something to go as safely as possible.

0:34:25.960 --> 0:34:26.120
<v Speaker 3>Right.

0:34:26.560 --> 0:34:28.000
<v Speaker 12>The race is the way that you get things to

0:34:28.040 --> 0:34:30.800
<v Speaker 12>go as quickly as possible, and speed does not necessarily

0:34:30.840 --> 0:34:33.279
<v Speaker 12>equal safety. So I think one of the problems that

0:34:33.920 --> 0:34:35.840
<v Speaker 12>you know, we have to step out of this dynamic

0:34:36.040 --> 0:34:40.239
<v Speaker 12>of there's a competitive race to develop more and more

0:34:40.320 --> 0:34:43.320
<v Speaker 12>powerful systems, even at the expense of making sure that

0:34:43.400 --> 0:34:46.360
<v Speaker 12>those systems are safe and beneficial systems for society.

0:34:46.800 --> 0:34:47.640
<v Speaker 9>So that's issue one.

0:34:47.719 --> 0:34:50.399
<v Speaker 2>I say, what's at stake here? If those guardrails aren't

0:34:50.440 --> 0:34:53.880
<v Speaker 2>in place? I think, like, what's worst case scenario? The

0:34:54.440 --> 0:34:55.399
<v Speaker 2>get give it to us full.

0:34:56.520 --> 0:34:59.200
<v Speaker 12>I think they're short term scenarios that we see that

0:34:59.239 --> 0:35:01.600
<v Speaker 12>are that are worries and long term one. So I

0:35:01.640 --> 0:35:03.959
<v Speaker 12>think in the short term, we see that our whole

0:35:04.280 --> 0:35:09.680
<v Speaker 12>sort of information gathering and understanding and dissemination system are

0:35:09.880 --> 0:35:13.400
<v Speaker 12>the ecosphere is more or less being dismantled. You know,

0:35:13.800 --> 0:35:17.720
<v Speaker 12>right now we are becoming a wash in AI generated content.

0:35:18.120 --> 0:35:20.239
<v Speaker 12>You don't really know most of the things that you read,

0:35:20.280 --> 0:35:22.280
<v Speaker 12>whether they AI generated or human generated.

0:35:23.360 --> 0:35:23.400
<v Speaker 6>It.

0:35:23.960 --> 0:35:26.240
<v Speaker 12>We will soon be at the point where the pictures

0:35:26.320 --> 0:35:29.359
<v Speaker 12>that you see are more or less indistributable between AI

0:35:29.480 --> 0:35:33.560
<v Speaker 12>generated and camera generated. That's already sort of possible. So

0:35:33.680 --> 0:35:37.320
<v Speaker 12>we have a kind of pollution of our information commons

0:35:39.040 --> 0:35:41.120
<v Speaker 12>to the extent that I think we're losing track of

0:35:41.280 --> 0:35:44.600
<v Speaker 12>just what is real, what is human, what is true

0:35:45.280 --> 0:35:47.600
<v Speaker 12>from what isn't. And so I think that's a challenge

0:35:47.600 --> 0:35:49.480
<v Speaker 12>we're going to see play out in huge that's happening.

0:35:49.880 --> 0:35:50.560
<v Speaker 9>That's happening now.

0:35:51.120 --> 0:35:53.960
<v Speaker 2>I think that's not the robots taking over, that's that's.

0:35:53.920 --> 0:35:56.399
<v Speaker 12>Right it's not the robots taking over, but it also isn't.

0:35:57.120 --> 0:35:59.560
<v Speaker 12>It's also not not the robots taking over in the

0:35:59.640 --> 0:36:03.520
<v Speaker 12>sense that we are replacing human generated culture and content

0:36:03.760 --> 0:36:05.440
<v Speaker 12>with AI generated culture and content.

0:36:06.239 --> 0:36:09.360
<v Speaker 4>How do you police that? How do you create the

0:36:09.480 --> 0:36:10.840
<v Speaker 4>guardrails around that?

0:36:12.040 --> 0:36:14.600
<v Speaker 12>I think there it's a So in terms of the

0:36:14.960 --> 0:36:18.920
<v Speaker 12>content generation, it's a question of having ways to verify

0:36:19.080 --> 0:36:21.600
<v Speaker 12>that something is authentic, that is real, that is true,

0:36:21.680 --> 0:36:24.680
<v Speaker 12>that is human generated ways to detect and ways to

0:36:24.800 --> 0:36:28.360
<v Speaker 12>label things that aren't, and having the technical systems that

0:36:28.480 --> 0:36:32.000
<v Speaker 12>allow people to access that information. So it should be

0:36:32.200 --> 0:36:34.040
<v Speaker 12>the case that if I go online and read a

0:36:34.080 --> 0:36:37.080
<v Speaker 12>news article, I should know whether it's AI written or not.

0:36:37.600 --> 0:36:40.080
<v Speaker 12>I should know whether a fact and it is true,

0:36:40.160 --> 0:36:42.120
<v Speaker 12>and if it's claimed to be true, how do I.

0:36:42.160 --> 0:36:43.400
<v Speaker 9>Know that it's true? I should be able to go

0:36:43.560 --> 0:36:45.440
<v Speaker 9>back to like the camera they took that picture?

0:36:45.520 --> 0:36:46.239
<v Speaker 3>How do you do that?

0:36:46.600 --> 0:36:49.960
<v Speaker 12>Well, it's all possible technically, I mean the social systems

0:36:50.040 --> 0:36:53.360
<v Speaker 12>and the like, and the the rules and the market

0:36:53.440 --> 0:36:55.640
<v Speaker 12>demand to bring those things into the way we.

0:36:55.640 --> 0:37:01.080
<v Speaker 2>Actually need use Berg as this article was written in

0:37:01.120 --> 0:37:05.239
<v Speaker 2>the system of Bloomberg automation. I mean, not everybody does that, though,

0:37:05.280 --> 0:37:06.279
<v Speaker 2>I guess right.

0:37:06.440 --> 0:37:10.040
<v Speaker 12>So, so should there be a rule a law, of course,

0:37:10.640 --> 0:37:14.960
<v Speaker 12>I mean there should certainly be certain rules about fake information,

0:37:15.160 --> 0:37:17.160
<v Speaker 12>so it should. I think it should not be legal

0:37:17.280 --> 0:37:21.200
<v Speaker 12>to generate non consensual deep fakes of people that they

0:37:21.280 --> 0:37:24.960
<v Speaker 12>didn't authorize, whether they're sexual deep fakes or political deep

0:37:24.960 --> 0:37:28.239
<v Speaker 12>fakes that are or fraudulent business you know deep talking

0:37:28.320 --> 0:37:29.280
<v Speaker 12>to politicians.

0:37:28.920 --> 0:37:31.560
<v Speaker 2>Right now to make this reality we are.

0:37:32.080 --> 0:37:32.319
<v Speaker 6>Yeah.

0:37:32.560 --> 0:37:36.080
<v Speaker 12>So there are lots of bills in Congress that are

0:37:36.160 --> 0:37:39.440
<v Speaker 12>pursuing the deep fakes issue. I think some of them

0:37:40.040 --> 0:37:44.160
<v Speaker 12>are underpowered in the sense that they predominantly put the

0:37:44.800 --> 0:37:48.399
<v Speaker 12>put the onus on content creators not to create deep fakes,

0:37:48.440 --> 0:37:50.719
<v Speaker 12>but they don't put the onus on developers not to

0:37:50.840 --> 0:37:55.000
<v Speaker 12>create the tools for deep fakes, and not necessarily enough

0:37:55.040 --> 0:37:58.000
<v Speaker 12>on platforms to make sure that they label things correctly.

0:37:58.239 --> 0:38:00.279
<v Speaker 9>So I think we need lots of things there.

0:38:00.560 --> 0:38:02.799
<v Speaker 12>Some of those will happen by themselves because the market

0:38:02.840 --> 0:38:04.840
<v Speaker 12>will require some of them will be required.

0:38:05.120 --> 0:38:06.959
<v Speaker 9>We will need regulations in law scot I'm.

0:38:06.880 --> 0:38:09.040
<v Speaker 3>Just kind of a little terrified thinking about social media.

0:38:09.080 --> 0:38:11.560
<v Speaker 3>I the amount of news information that's not accurate that's

0:38:11.560 --> 0:38:13.560
<v Speaker 3>already out there, and we've not done a great job

0:38:14.880 --> 0:38:15.520
<v Speaker 3>policing that.

0:38:15.760 --> 0:38:19.040
<v Speaker 4>So I'm my favors crossing everything.

0:38:19.160 --> 0:38:21.320
<v Speaker 9>You need to do a little better this time, you

0:38:21.440 --> 0:38:22.080
<v Speaker 9>need to do a little better.

0:38:22.120 --> 0:38:22.680
<v Speaker 4>We've learned.

0:38:22.719 --> 0:38:24.120
<v Speaker 2>We'll see. We'll check in with you in a little

0:38:24.120 --> 0:38:25.560
<v Speaker 2>while and see if we've done a better job.

0:38:25.960 --> 0:38:28.239
<v Speaker 9>But the broader question, so you asked about the long

0:38:28.320 --> 0:38:29.480
<v Speaker 9>term and the short.

0:38:29.320 --> 0:38:32.279
<v Speaker 2>Term, so we'll see, Well, we'll see if it We'll

0:38:32.280 --> 0:38:33.759
<v Speaker 2>see if we can if we can pull it off.

0:38:34.040 --> 0:38:36.160
<v Speaker 2>All right, Anthony, thank you so much for joining us.

0:38:36.200 --> 0:38:38.839
<v Speaker 2>That's Anthony Gary, executive director of the Future of Light

0:38:38.960 --> 0:38:41.080
<v Speaker 2>and Light Institute, here at the Bloomberg Tech Summit.

0:38:43.280 --> 0:38:46.759
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:38:46.840 --> 0:38:50.040
<v Speaker 1>Live weekday afternoons from two to five pm Eastern Listen

0:38:50.120 --> 0:38:52.279
<v Speaker 1>on Apple card Play and then brought auto with a

0:38:52.320 --> 0:38:55.320
<v Speaker 1>Bloomberg Business at or want us live on YouTube.

0:38:57.520 --> 0:38:59.680
<v Speaker 2>Well, our next guest needs going to We're going to

0:38:59.719 --> 0:39:02.480
<v Speaker 2>get them one anyway. It's a Silicon value vis He

0:39:02.560 --> 0:39:05.680
<v Speaker 2>helped build PayPal, co fided LinkedIn. He was an early

0:39:05.760 --> 0:39:08.960
<v Speaker 2>investor in Facebook and Airbnb. He was the first investor

0:39:09.000 --> 0:39:11.680
<v Speaker 2>in open Ai. He co founded the ai company in

0:39:11.800 --> 0:39:14.880
<v Speaker 2>Flection Ai. He's on Microsoft Forard. He's a partner at

0:39:14.880 --> 0:39:17.399
<v Speaker 2>the VC firm Braylock Partners. He's a New York Times

0:39:17.480 --> 0:39:20.879
<v Speaker 2>bestselling author, and he's also a podcast we have read

0:39:20.920 --> 0:39:21.279
<v Speaker 2>hot mon.

0:39:22.040 --> 0:39:23.360
<v Speaker 7>Great to be here, Thank you for you.

0:39:24.960 --> 0:39:27.120
<v Speaker 10>As we were just talking how does the environment? But

0:39:27.239 --> 0:39:29.200
<v Speaker 10>we've ever done a radio show before it so hopefully

0:39:29.200 --> 0:39:29.560
<v Speaker 10>it'll work.

0:39:29.800 --> 0:39:31.560
<v Speaker 9>It's working so far, so far, so good.

0:39:31.560 --> 0:39:35.480
<v Speaker 2>But I have to ask you, are you real or

0:39:35.600 --> 0:39:38.319
<v Speaker 2>am I talking to some sort of AI digital twin

0:39:38.440 --> 0:39:41.479
<v Speaker 2>rand Well, and explain why I have to ask that question.

0:39:41.960 --> 0:39:45.240
<v Speaker 10>So as you as you know, I did an interview

0:39:45.280 --> 0:39:47.760
<v Speaker 10>with myself where I was talking to my own digital

0:39:47.840 --> 0:39:50.279
<v Speaker 10>twin read AI, and I did it in order to

0:39:50.400 --> 0:39:53.279
<v Speaker 10>kind of show that not only obviously there's a whole

0:39:53.280 --> 0:39:53.920
<v Speaker 10>bunch of concerns.

0:39:53.960 --> 0:39:55.520
<v Speaker 7>There's concerns and political.

0:39:55.200 --> 0:39:58.800
<v Speaker 10>And misinformation and a deep makes and a bunch of

0:39:58.840 --> 0:40:01.799
<v Speaker 10>other stuff that are real con but even here there's

0:40:02.040 --> 0:40:04.480
<v Speaker 10>optimism to look at what's to be shaped towards. And

0:40:04.560 --> 0:40:08.400
<v Speaker 10>I wanted to show not just hell, that message. And

0:40:08.480 --> 0:40:10.160
<v Speaker 10>so I was like, okay, well let me talk to

0:40:10.239 --> 0:40:13.120
<v Speaker 10>my own three day I and see how it works.

0:40:13.640 --> 0:40:15.399
<v Speaker 10>And so and the reason why you asked that question

0:40:15.440 --> 0:40:16.880
<v Speaker 10>of course, because you said, well, wait a minute, that

0:40:17.000 --> 0:40:17.600
<v Speaker 10>was pretty good.

0:40:18.040 --> 0:40:20.920
<v Speaker 7>It was we're here in person. You can tell this

0:40:21.120 --> 0:40:22.040
<v Speaker 7>is I'm the real name.

0:40:22.600 --> 0:40:24.920
<v Speaker 2>That sounds like this looked like you, Yes, yeah, this

0:40:25.000 --> 0:40:27.040
<v Speaker 2>is like it looked like talking.

0:40:26.840 --> 0:40:31.240
<v Speaker 7>To a video audio and the words we're all AI

0:40:31.480 --> 0:40:37.239
<v Speaker 7>generated zero from me. It was other than mirroring off

0:40:37.840 --> 0:40:39.239
<v Speaker 7>my earlier videos.

0:40:38.960 --> 0:40:42.160
<v Speaker 2>Mirroring off my earlier podcast, use your your use your

0:40:42.760 --> 0:40:43.799
<v Speaker 2>book to train as well.

0:40:43.960 --> 0:40:48.120
<v Speaker 10>Yes, okay, yeah, it used all everything ever did answers

0:40:48.400 --> 0:40:50.360
<v Speaker 10>the way read would get answers.

0:40:50.800 --> 0:40:53.680
<v Speaker 3>We're all gonna have digital twins someday and we're gonna

0:40:53.680 --> 0:40:56.000
<v Speaker 3>hear it was and we're like, go.

0:40:56.000 --> 0:40:56.840
<v Speaker 2>To the d m V for me.

0:40:59.320 --> 0:41:03.200
<v Speaker 7>So I think we must. It's certainly possible.

0:41:03.680 --> 0:41:07.680
<v Speaker 10>Certainly, if you're a media person you'll have a digital twin. Certainly,

0:41:07.760 --> 0:41:10.200
<v Speaker 10>if you're a leader, you'll have a digital twin.

0:41:10.320 --> 0:41:11.319
<v Speaker 7>It'll be used in a front.

0:41:11.360 --> 0:41:13.319
<v Speaker 10>If you're a lawyer, you'll have one because then people

0:41:13.360 --> 0:41:15.719
<v Speaker 10>can talk to your digital twins and maybe at a

0:41:15.800 --> 0:41:16.239
<v Speaker 10>cheaper rate.

0:41:16.280 --> 0:41:18.400
<v Speaker 7>The dog you are prepping for your meeting or that

0:41:18.480 --> 0:41:18.919
<v Speaker 7>kind of thing.

0:41:19.040 --> 0:41:20.920
<v Speaker 10>So I think it will be a stack of harriers

0:41:21.000 --> 0:41:23.160
<v Speaker 10>for digital twins will be very real.

0:41:24.040 --> 0:41:26.400
<v Speaker 7>But I'm not sure all eight billion people in the

0:41:26.440 --> 0:41:27.000
<v Speaker 7>world will.

0:41:26.880 --> 0:41:30.160
<v Speaker 2>This string well, so why should this excite us and

0:41:30.239 --> 0:41:32.480
<v Speaker 2>not scare us and want us to all move to bunkers.

0:41:33.640 --> 0:41:37.880
<v Speaker 10>So it should look naturally, it should both excite and

0:41:38.160 --> 0:41:41.000
<v Speaker 10>scare us. The scars is, the negatives is the scarris

0:41:41.120 --> 0:41:44.839
<v Speaker 10>is of political misinformation. You know, things that are going

0:41:44.880 --> 0:41:47.080
<v Speaker 10>to be happening this year in the US until we're

0:41:47.520 --> 0:41:51.480
<v Speaker 10>in other major elections of democracy. It should scare us

0:41:51.520 --> 0:41:54.919
<v Speaker 10>because there's questions around them. And let if someone created

0:41:55.000 --> 0:41:59.040
<v Speaker 10>a deep make of me doing something or saying something

0:41:59.120 --> 0:42:01.880
<v Speaker 10>I really am like you know, like you know that

0:42:02.200 --> 0:42:04.920
<v Speaker 10>I think Trump is a corruption in democracy against the

0:42:04.960 --> 0:42:08.600
<v Speaker 10>rule on what happens to you. I love Trump, you know,

0:42:08.880 --> 0:42:11.200
<v Speaker 10>that would be obviously a problem. And so there's all

0:42:11.400 --> 0:42:14.200
<v Speaker 10>kinds of ways that there are real problems. So on

0:42:14.280 --> 0:42:17.960
<v Speaker 10>the other hand, we will we will, as we always

0:42:18.000 --> 0:42:20.440
<v Speaker 10>do with technology to figure out how to navigation, will

0:42:20.440 --> 0:42:24.920
<v Speaker 10>get that not perfectly, but sufficiently, and there will be

0:42:25.000 --> 0:42:28.120
<v Speaker 10>great things like for example, that's part of the reason

0:42:28.200 --> 0:42:29.680
<v Speaker 10>I started showing, Hey.

0:42:29.600 --> 0:42:33.120
<v Speaker 7>Look here, I'm making a deep bag of myself and

0:42:34.160 --> 0:42:34.879
<v Speaker 7>it's not that bad.

0:42:36.160 --> 0:42:39.160
<v Speaker 4>You know, read when you sat down I said, the conversations.

0:42:39.200 --> 0:42:41.080
<v Speaker 3>We have a lot of Bloemberg and we've written about

0:42:41.080 --> 0:42:41.960
<v Speaker 3>this is here.

0:42:42.080 --> 0:42:45.440
<v Speaker 4>You have Lincoln kind of the social media site, that

0:42:45.680 --> 0:42:47.360
<v Speaker 4>kind of the social media site.

0:42:47.120 --> 0:42:50.080
<v Speaker 3>That seems to be clean, pure, You can truss and

0:42:50.160 --> 0:42:53.640
<v Speaker 3>you can have conversations, so we can get it right.

0:42:54.200 --> 0:42:56.400
<v Speaker 4>So what how is that kind of a guide in

0:42:56.480 --> 0:42:58.960
<v Speaker 4>yours since in terms of jen ai, and how do

0:42:59.080 --> 0:43:01.600
<v Speaker 4>you think about and what are the guard rails? How

0:43:01.640 --> 0:43:02.520
<v Speaker 4>do we regulate it?

0:43:02.760 --> 0:43:06.400
<v Speaker 10>Yes, and so the good news is the mostly frontier

0:43:06.480 --> 0:43:11.480
<v Speaker 10>model companies, Microsoft, open Ai, Google are all putting a

0:43:11.600 --> 0:43:12.800
<v Speaker 10>lot of energy in that.

0:43:13.200 --> 0:43:16.560
<v Speaker 7>They're making these models healthy.

0:43:16.360 --> 0:43:21.160
<v Speaker 10>Participants within the US, within the global kind of media ecosystem,

0:43:21.280 --> 0:43:24.600
<v Speaker 10>like don't generate fake information, be.

0:43:24.800 --> 0:43:28.920
<v Speaker 7>Civil, you don't do hate speech, don't enab it self harm.

0:43:29.320 --> 0:43:31.200
<v Speaker 7>They all put a lot of energy and a lot

0:43:31.280 --> 0:43:34.200
<v Speaker 7>of work in that. And I don't invest hundreds of

0:43:34.320 --> 0:43:37.239
<v Speaker 7>millions of dollars and teams of hundreds of people in

0:43:37.360 --> 0:43:37.800
<v Speaker 7>order to do that.

0:43:38.640 --> 0:43:41.440
<v Speaker 10>Now, one of the challenges is is that some of

0:43:41.520 --> 0:43:44.360
<v Speaker 10>these models are open source, and as an open source,

0:43:44.640 --> 0:43:46.920
<v Speaker 10>someone else takes the open source model to.

0:43:47.000 --> 0:43:49.000
<v Speaker 7>Something that's not any of that. With that right and

0:43:49.080 --> 0:43:50.440
<v Speaker 7>that's part of the reason why we still have to

0:43:50.560 --> 0:43:51.120
<v Speaker 7>navigate this.

0:43:51.560 --> 0:43:53.400
<v Speaker 3>Do you have trust so that we can navigate it

0:43:53.480 --> 0:43:57.000
<v Speaker 3>correctly and safely in the future AI, So.

0:43:57.120 --> 0:43:59.319
<v Speaker 7>The ultimate answer is absolutely yes.

0:44:00.440 --> 0:44:05.200
<v Speaker 10>That doesn't mean that there aren't potholes, you know, bumps

0:44:05.239 --> 0:44:08.120
<v Speaker 10>in the road, thunder scrapes, all the rest, and it's

0:44:08.600 --> 0:44:10.440
<v Speaker 10>I guarantee you there will be those two.

0:44:11.400 --> 0:44:14.400
<v Speaker 2>The US can't get Vladimir Putin not to invade in Ukraine.

0:44:14.719 --> 0:44:17.600
<v Speaker 2>The world can't get him not sure stop fighting. What

0:44:17.800 --> 0:44:21.560
<v Speaker 2>convinces you that we could get a leader like him

0:44:21.960 --> 0:44:22.800
<v Speaker 2>not to use AI?

0:44:23.400 --> 0:44:25.000
<v Speaker 7>Oh bad? Zero percent?

0:44:25.640 --> 0:44:30.920
<v Speaker 10>Like if you said that that Putin will be using

0:44:32.080 --> 0:44:37.120
<v Speaker 10>AI to disrupt the US elections, you know, probably support

0:44:37.200 --> 0:44:41.279
<v Speaker 10>Trump because that's his exit strategy from Ukraine. Uh, he

0:44:41.400 --> 0:44:43.520
<v Speaker 10>will do that one hundred percent. Is no way it's

0:44:43.520 --> 0:44:46.200
<v Speaker 10>having it. The defense is not getting him not to

0:44:46.280 --> 0:44:49.560
<v Speaker 10>do it. The defense is integrating AI in our own

0:44:49.640 --> 0:44:53.440
<v Speaker 10>tech platforms and using our stronger AI in defense.

0:44:53.760 --> 0:44:56.680
<v Speaker 2>So essentially saying, okay, well, maybe you see something on

0:44:56.960 --> 0:45:00.800
<v Speaker 2>Facebook and that platforms might have developed something that's okay,

0:45:00.920 --> 0:45:05.520
<v Speaker 2>Well this isn't necessarily something that's true, Yes, but do

0:45:05.560 --> 0:45:06.920
<v Speaker 2>you trust Do you trust Facebook?

0:45:06.960 --> 0:45:07.239
<v Speaker 12>To do that.

0:45:08.080 --> 0:45:09.200
<v Speaker 7>Actually, I.

0:45:11.480 --> 0:45:13.640
<v Speaker 2>Yes, And you have a deep history with the company.

0:45:13.800 --> 0:45:15.160
<v Speaker 7>Yes, I have a deep history of the company.

0:45:15.400 --> 0:45:17.520
<v Speaker 10>I actually have talked to Zuckerbiger about it, and they're

0:45:17.560 --> 0:45:20.120
<v Speaker 10>investing in it. I think they're making a real effort

0:45:20.120 --> 0:45:23.839
<v Speaker 10>at it, so I think like they're really trying. I'm

0:45:23.880 --> 0:45:27.040
<v Speaker 10>more worried about Twitter that I am about Facebook on

0:45:27.200 --> 0:45:27.600
<v Speaker 10>this matter.

0:45:28.040 --> 0:45:29.520
<v Speaker 2>Okay, why are you more worried about Twitter?

0:45:29.600 --> 0:45:33.560
<v Speaker 10>Well, because look someone you also go way yeah, and look,

0:45:33.640 --> 0:45:36.400
<v Speaker 10>Elon is A is literally one of the heroes of

0:45:36.480 --> 0:45:41.000
<v Speaker 10>our generation. You know, uh, Space and I think and

0:45:41.239 --> 0:45:44.200
<v Speaker 10>kind of Starlink and Tesla and Evie.

0:45:44.120 --> 0:45:46.600
<v Speaker 7>Just amazing, amazing, amazing. We wouldn't have any of this

0:45:46.680 --> 0:45:48.799
<v Speaker 7>about him. It is so spectacular.

0:45:49.400 --> 0:45:52.080
<v Speaker 10>On the other hand, before he buys Twitter, he's like, oh,

0:45:52.239 --> 0:45:55.279
<v Speaker 10>we have this problem with robots. And then after he

0:45:55.400 --> 0:45:57.239
<v Speaker 10>bought trying to get out of the and then after

0:45:57.280 --> 0:46:00.960
<v Speaker 10>you buy what robots and you're like, well, the robots

0:46:00.960 --> 0:46:04.040
<v Speaker 10>are still there. There's still like Internet Research Agency watching

0:46:04.160 --> 0:46:05.560
<v Speaker 10>robot farms doing shit.

0:46:05.800 --> 0:46:07.640
<v Speaker 7>Are you doing anything about them?

0:46:07.680 --> 0:46:10.879
<v Speaker 2>I'm not hearing anything, to be fair, I did see

0:46:11.080 --> 0:46:13.920
<v Speaker 2>I did see an ad on Twitter recently with a

0:46:14.000 --> 0:46:17.120
<v Speaker 2>deep bake of Jeff Bezos pushing a cryptocurrency. Yeah, it's

0:46:17.120 --> 0:46:19.600
<v Speaker 2>a paid ad. Yes that has showed up repeatedly in

0:46:19.680 --> 0:46:21.319
<v Speaker 2>my feed obviously not approved vice.

0:46:21.719 --> 0:46:25.040
<v Speaker 7>Yes, yes, yeah, and so therefore, what are you doing

0:46:25.160 --> 0:46:26.200
<v Speaker 7>about AI and JEMA?

0:46:26.400 --> 0:46:28.360
<v Speaker 4>Well, you know, Elon is so complex.

0:46:29.000 --> 0:46:31.480
<v Speaker 3>Back from Milton, he did a conversation with Michael Milton.

0:46:31.560 --> 0:46:34.880
<v Speaker 3>He said, very important to have maximum seeking AI and

0:46:35.040 --> 0:46:36.359
<v Speaker 3>maximum curious.

0:46:36.040 --> 0:46:38.759
<v Speaker 4>AI, and then it's tied not to lie or do

0:46:38.920 --> 0:46:40.040
<v Speaker 4>things that are not true.

0:46:40.840 --> 0:46:44.320
<v Speaker 7>Well, walk the lock, don't just talk the talk, well.

0:46:44.200 --> 0:46:47.080
<v Speaker 3>Said, can I ask, I'm curious if we have all

0:46:47.120 --> 0:46:49.759
<v Speaker 3>these conversations about jen Ai, how is it going to

0:46:49.840 --> 0:46:51.880
<v Speaker 3>impact my life? How is it really going to impact

0:46:51.960 --> 0:46:54.120
<v Speaker 3>him's life? How's it really going to impact your life?

0:46:54.920 --> 0:46:58.320
<v Speaker 7>So here's a simple way of looking at all of

0:46:58.440 --> 0:47:01.480
<v Speaker 7>us are going to have as an all AI assistant

0:47:01.960 --> 0:47:04.319
<v Speaker 7>that it is going to be helping us with its

0:47:04.360 --> 0:47:07.960
<v Speaker 7>focus on us. Right, so it'll be like, hey, what

0:47:08.040 --> 0:47:09.480
<v Speaker 7>do you need help with? Do you need help with

0:47:10.080 --> 0:47:12.879
<v Speaker 7>figuring out say something like like where to go? What's

0:47:13.000 --> 0:47:15.480
<v Speaker 7>entertaining to do? You know in the city?

0:47:15.640 --> 0:47:19.040
<v Speaker 10>And I or oh I'm having this different I'm trying

0:47:19.040 --> 0:47:20.880
<v Speaker 10>to figure out this thing with my kids. Oh, we

0:47:20.960 --> 0:47:22.799
<v Speaker 10>can help you with that. Oh, I'm trying to figure

0:47:22.880 --> 0:47:24.960
<v Speaker 10>this medical thing. Oh I can help you with that. Oh,

0:47:25.000 --> 0:47:27.160
<v Speaker 10>I'm trying to figure out I had this difficult conversation

0:47:27.239 --> 0:47:27.920
<v Speaker 10>with coworker.

0:47:28.200 --> 0:47:30.520
<v Speaker 7>Oh, I'll talk to you about that. It will help

0:47:30.600 --> 0:47:32.720
<v Speaker 7>us with a whole range of things. And like, for example,

0:47:32.800 --> 0:47:33.920
<v Speaker 7>part of what we found.

0:47:33.719 --> 0:47:36.720
<v Speaker 10>An inflection was really surprising to us and very positive.

0:47:37.280 --> 0:47:41.840
<v Speaker 10>Which has podge in personal intelligence is people.

0:47:41.600 --> 0:47:43.839
<v Speaker 7>Will say, oh, I got these eight ingredients in my friends,

0:47:43.880 --> 0:47:44.480
<v Speaker 7>what should I name?

0:47:44.920 --> 0:47:47.520
<v Speaker 10>Or oh, my toaster broke and I fixed it, and

0:47:47.640 --> 0:47:50.239
<v Speaker 10>you're like, actually, in fact, it helps all of that.

0:47:50.440 --> 0:47:53.960
<v Speaker 10>So that's the exact human amplification that helping us navigate

0:47:54.000 --> 0:47:58.120
<v Speaker 10>our lives, which is the thing I guarantee will be there.

0:47:58.280 --> 0:48:00.680
<v Speaker 2>I love the ingredients in the fridge of it. If

0:48:00.680 --> 0:48:02.440
<v Speaker 2>you're just joining us, we're speaking to with Rida Hoffman,

0:48:02.600 --> 0:48:07.640
<v Speaker 2>the PayPal of LinkedIn, Open Ai, of Inflection AI, of

0:48:07.760 --> 0:48:13.279
<v Speaker 2>the podcast Possible. But this certainly goes on read I'm

0:48:13.360 --> 0:48:16.439
<v Speaker 2>wondering about winners and losers when it comes to AI AI.

0:48:16.520 --> 0:48:19.440
<v Speaker 2>In terms of companies. You're on the board of Microsoft Imagined,

0:48:19.440 --> 0:48:21.520
<v Speaker 2>A couple of the big companies that you've invested in,

0:48:22.160 --> 0:48:26.480
<v Speaker 2>that you've founded. Is there a concern that we're just

0:48:26.560 --> 0:48:30.120
<v Speaker 2>going to see the big companies like Microsoft, like in video,

0:48:31.000 --> 0:48:33.840
<v Speaker 2>like Amazon, like meta platforms, they're going to be the

0:48:33.920 --> 0:48:35.359
<v Speaker 2>only winners when it comes to AI.

0:48:36.000 --> 0:48:37.680
<v Speaker 7>What I guarantee you They're not going to be the

0:48:37.760 --> 0:48:39.440
<v Speaker 7>only one. They will be winners.

0:48:39.800 --> 0:48:39.960
<v Speaker 6>Right.

0:48:41.360 --> 0:48:45.560
<v Speaker 10>Satia has just done a masterful job, like like remember

0:48:45.680 --> 0:48:49.040
<v Speaker 10>it started with a million dollars deal with a five

0:48:49.080 --> 0:48:51.120
<v Speaker 10>O WEBC three. I think in the first time in

0:48:51.160 --> 0:48:55.080
<v Speaker 10>the history something like that's happening, like genius strategy from

0:48:55.160 --> 0:48:58.000
<v Speaker 10>talking and I think it will be Uh, it'll across

0:48:58.080 --> 0:49:00.400
<v Speaker 10>all of these companies. I think they will have wrong

0:49:00.480 --> 0:49:02.960
<v Speaker 10>winds going into the future. On the other hands, you know,

0:49:03.000 --> 0:49:05.120
<v Speaker 10>at Gray Locke, we're investing a whole bunch of AI company.

0:49:05.160 --> 0:49:06.279
<v Speaker 10>We do it reasonably well.

0:49:06.400 --> 0:49:09.360
<v Speaker 7>We have a whole portfolio that we're excited about. And

0:49:09.840 --> 0:49:13.320
<v Speaker 7>I think that the I think that it's just you

0:49:13.400 --> 0:49:15.360
<v Speaker 7>don't play the same game. It's a little bit like

0:49:15.400 --> 0:49:15.920
<v Speaker 7>and you said.

0:49:15.800 --> 0:49:18.000
<v Speaker 10>Hey, I got a start up, I'm gonna try to

0:49:18.040 --> 0:49:19.640
<v Speaker 10>make a new desktop search company.

0:49:19.640 --> 0:49:22.360
<v Speaker 7>You're like, well, one of the difficults, right there is

0:49:22.640 --> 0:49:23.680
<v Speaker 7>this company called Google.

0:49:23.719 --> 0:49:27.600
<v Speaker 10>It's a little challenging. Okay, you know I'm gonna make

0:49:27.640 --> 0:49:30.839
<v Speaker 10>a new handset mobile phone devices. You're like, oh, there's

0:49:30.880 --> 0:49:32.320
<v Speaker 10>this company called that whole it's.

0:49:32.160 --> 0:49:34.480
<v Speaker 7>A little challenging, so you know, you don't do it

0:49:34.560 --> 0:49:36.560
<v Speaker 7>that way. But there's gonna be a whole range of

0:49:36.640 --> 0:49:39.799
<v Speaker 7>other AI companies the things that will like.

0:49:40.440 --> 0:49:43.439
<v Speaker 10>Everything from opportunities that the large tech companies just can't

0:49:43.440 --> 0:49:43.920
<v Speaker 10>focus on.

0:49:44.400 --> 0:49:47.359
<v Speaker 7>To taking interesting risks and making that risk look good

0:49:47.440 --> 0:49:49.560
<v Speaker 7>and then all of a sudden building out ding. So

0:49:49.560 --> 0:49:51.719
<v Speaker 7>I think there's gonna be a range of startups. Don't

0:49:51.760 --> 0:49:54.000
<v Speaker 7>look excited the lights podcasts.

0:49:54.239 --> 0:49:56.920
<v Speaker 4>We have a great podcast. You have a great new podcast.

0:49:56.960 --> 0:50:00.800
<v Speaker 4>Tell us about possible, U tell us about it? Like,

0:50:01.120 --> 0:50:02.640
<v Speaker 4>really want to talk too?

0:50:03.200 --> 0:50:06.200
<v Speaker 7>What are the conversations you want to have? So for me,

0:50:06.560 --> 0:50:07.240
<v Speaker 7>it's possible.

0:50:08.040 --> 0:50:11.480
<v Speaker 10>It's too much of the dialogue is about technology being

0:50:11.600 --> 0:50:15.440
<v Speaker 10>dangerous to us, how we evolve this.

0:50:15.520 --> 0:50:19.320
<v Speaker 7>Humanity, how we become better and more human. It's food, technology,

0:50:19.880 --> 0:50:21.720
<v Speaker 7>it's it's clothing, it's.

0:50:21.719 --> 0:50:25.440
<v Speaker 10>Glasses, it's it's my it's food, it's cooking, it's fired,

0:50:25.480 --> 0:50:26.160
<v Speaker 10>it's buildings.

0:50:26.480 --> 0:50:27.000
<v Speaker 7>All of this is.

0:50:27.080 --> 0:50:30.120
<v Speaker 10>Technology that's helped us make us as the human games

0:50:30.160 --> 0:50:32.719
<v Speaker 10>we are AI will be saying, because.

0:50:32.480 --> 0:50:35.759
<v Speaker 7>The whole point I'm on the Possible podcast used to say,

0:50:36.680 --> 0:50:38.960
<v Speaker 7>this is how technology can help.

0:50:38.840 --> 0:50:40.879
<v Speaker 10>Us become more human, not to go, oh my god,

0:50:41.040 --> 0:50:44.600
<v Speaker 10>what's coming in technology. It's it can be great for us,

0:50:44.840 --> 0:50:47.359
<v Speaker 10>and it's not that hard to shape. We just need

0:50:47.440 --> 0:50:50.640
<v Speaker 10>to shape it, whether it's AI, whether it's the use

0:50:50.719 --> 0:50:53.080
<v Speaker 10>of phones. And you know, obviously people like to talk

0:50:53.080 --> 0:50:55.480
<v Speaker 10>about what social networks and they go, wow, that's been

0:50:55.520 --> 0:50:57.200
<v Speaker 10>to have a challenging It's like, well, look at LinkedIn.

0:50:57.680 --> 0:51:00.600
<v Speaker 10>LinkedIn's worked out pretty well. It's doable. It's doable, so

0:51:00.719 --> 0:51:01.200
<v Speaker 10>let's do it.

0:51:01.600 --> 0:51:03.319
<v Speaker 2>We don't want to end with something that everybody loves

0:51:03.360 --> 0:51:04.800
<v Speaker 2>to talk about. Politics.

0:51:06.480 --> 0:51:07.320
<v Speaker 4>We all agree.

0:51:09.120 --> 0:51:11.440
<v Speaker 2>Look, you've been open about your feelings about Dwain Trump.

0:51:11.560 --> 0:51:14.360
<v Speaker 2>You help fund e Gene Carroll's defamation lawsuits against the

0:51:14.440 --> 0:51:18.440
<v Speaker 2>former president. There are a lot of business leaders out there,

0:51:18.840 --> 0:51:21.320
<v Speaker 2>some of them people you work with very closely, to

0:51:21.440 --> 0:51:25.359
<v Speaker 2>say that business under a President Trump administration was better

0:51:25.440 --> 0:51:29.200
<v Speaker 2>than business under a Biden administration. And that's why we're

0:51:29.239 --> 0:51:31.759
<v Speaker 2>in the corner of Donald Trump. When it comes to

0:51:31.840 --> 0:51:33.719
<v Speaker 2>twenty twenty four, What do you say to them?

0:51:34.200 --> 0:51:38.160
<v Speaker 10>So I understand the approach that Trump reason is more

0:51:38.280 --> 0:51:41.440
<v Speaker 10>regulatory lightweight than Biden. And by the way, generally speaking,

0:51:41.520 --> 0:51:44.359
<v Speaker 10>being more regulatory lightweight is a good thing. I try

0:51:44.440 --> 0:51:46.960
<v Speaker 10>to encourage the Biden administration to do that. On the

0:51:47.040 --> 0:51:49.560
<v Speaker 10>other hand, what's more fundamental is the rule of law.

0:51:50.160 --> 0:51:53.919
<v Speaker 10>Business works much much better with a healthy, strong rule

0:51:53.960 --> 0:51:54.239
<v Speaker 10>of law.

0:51:54.800 --> 0:51:57.040
<v Speaker 7>We do not want to have leaders who are literally

0:51:57.960 --> 0:51:59.200
<v Speaker 7>in a court like have.

0:51:59.320 --> 0:52:02.759
<v Speaker 10>Been convicted by court of you were slandering about your

0:52:02.880 --> 0:52:07.239
<v Speaker 10>sexual assault and a jury found you guilty. Right, we

0:52:07.400 --> 0:52:10.600
<v Speaker 10>should be a rule of law country first. And by

0:52:10.640 --> 0:52:12.239
<v Speaker 10>the way, this is what's the business leaders. By the way,

0:52:12.360 --> 0:52:14.280
<v Speaker 10>rule of law is what makes great business.

0:52:14.719 --> 0:52:15.520
<v Speaker 7>That's the reason why.

0:52:15.600 --> 0:52:18.919
<v Speaker 10>Actually Biden is a matter of president for business. Even

0:52:18.960 --> 0:52:21.279
<v Speaker 10>though the regulatory thing won't be exactly what.

0:52:21.360 --> 0:52:22.880
<v Speaker 7>You want and we'll have to work on it. But

0:52:23.080 --> 0:52:23.840
<v Speaker 7>rule of laws.

0:52:23.680 --> 0:52:26.359
<v Speaker 4>Fundamental in your perspective, your point of view.

0:52:26.600 --> 0:52:28.840
<v Speaker 7>Yes, I'm not yes, this is, but I do wonder.

0:52:28.760 --> 0:52:30.720
<v Speaker 3>That you know soon as you look at the November

0:52:30.800 --> 0:52:34.680
<v Speaker 3>election that outcome if it is not another of Biden

0:52:34.760 --> 0:52:38.320
<v Speaker 3>White House present a Trump former presidents come back in

0:52:38.360 --> 0:52:39.720
<v Speaker 3>the White House, what does.

0:52:39.600 --> 0:52:41.600
<v Speaker 4>It mean for the tech industry or your or your

0:52:41.680 --> 0:52:44.120
<v Speaker 4>group in terms of the rule of law is not followed.

0:52:44.360 --> 0:52:46.560
<v Speaker 10>Well, so look, I think it's the tech industry can

0:52:46.719 --> 0:52:48.879
<v Speaker 10>tribe under either administration.

0:52:49.880 --> 0:52:51.319
<v Speaker 7>But I do think that if.

0:52:52.800 --> 0:52:55.480
<v Speaker 10>Either Biden or Trump. But if I think Trump's elected,

0:52:55.520 --> 0:52:57.800
<v Speaker 10>I think history will look back as the beginning of

0:52:57.880 --> 0:53:00.759
<v Speaker 10>the end of the American world order, and that will

0:53:00.840 --> 0:53:02.960
<v Speaker 10>have a massive effect on global business.

0:53:03.400 --> 0:53:05.720
<v Speaker 2>How far are you willing to go to to reelect

0:53:05.719 --> 0:53:06.240
<v Speaker 2>your bodies.

0:53:06.719 --> 0:53:10.080
<v Speaker 10>Well, I'm willing to invest, I'm willing to speak, I'm

0:53:10.080 --> 0:53:13.840
<v Speaker 10>willing to campaign, I'm willing to try to. Like when

0:53:13.880 --> 0:53:16.560
<v Speaker 10>a prominent business leader speaks up and says I'm pro drop,

0:53:16.800 --> 0:53:17.759
<v Speaker 10>I call them and I.

0:53:17.760 --> 0:53:18.600
<v Speaker 7>Said, let's talk about it.

0:53:18.760 --> 0:53:19.799
<v Speaker 9>Do you ever change their mind?

0:53:20.239 --> 0:53:22.840
<v Speaker 7>Of course? Look for example, Look, one of things you

0:53:22.920 --> 0:53:24.240
<v Speaker 7>have to do is think about blind spots.

0:53:24.280 --> 0:53:26.960
<v Speaker 10>Like I just said something that was positive about how

0:53:27.120 --> 0:53:28.760
<v Speaker 10>Trump's administration was running.

0:53:28.840 --> 0:53:30.920
<v Speaker 7>Like I inspite to say you want a new regulation,

0:53:31.040 --> 0:53:33.279
<v Speaker 7>we're moving old one. It's an exactly right thing.

0:53:33.560 --> 0:53:34.239
<v Speaker 4>But I think what you.

0:53:34.280 --> 0:53:38.080
<v Speaker 3>Said about globally the perception of the rest of the

0:53:38.160 --> 0:53:41.360
<v Speaker 3>world potentially what the US means and what it is

0:53:41.440 --> 0:53:41.840
<v Speaker 3>in terms of.

0:53:42.680 --> 0:53:43.480
<v Speaker 4>That's a bigger story.

0:53:43.719 --> 0:53:47.560
<v Speaker 10>People will not trust us live. They will say, now

0:53:47.680 --> 0:53:49.680
<v Speaker 10>no longer trust that. You're into the world of law,

0:53:49.840 --> 0:53:51.279
<v Speaker 10>an equal system, all the rest.

0:53:51.400 --> 0:53:54.160
<v Speaker 3>All right, if you weren't in a world where Jennai

0:53:54.480 --> 0:53:56.360
<v Speaker 3>was everything twenty seconds.

0:53:56.440 --> 0:53:58.200
<v Speaker 4>What's the other technology we should have it on?

0:53:58.400 --> 0:54:00.759
<v Speaker 10>Radars don't work and career well, so the other thing

0:54:00.800 --> 0:54:03.160
<v Speaker 10>that's fallen behind it is synthetic biology. And when you

0:54:03.239 --> 0:54:05.360
<v Speaker 10>put them together, by the way, like the invention of

0:54:05.480 --> 0:54:09.440
<v Speaker 10>new pharmaceuticals, new medicines, everything else, it's like, let's just

0:54:09.560 --> 0:54:11.680
<v Speaker 10>hold on to get to the future, because the future

0:54:11.719 --> 0:54:12.600
<v Speaker 10>can be so amazing.

0:54:13.040 --> 0:54:14.560
<v Speaker 4>Do you think about what a I could do? Right,

0:54:14.640 --> 0:54:19.040
<v Speaker 4>it's just play around. Thank you so much, Thank you

0:54:19.120 --> 0:54:23.359
<v Speaker 4>for enduring my pleasure. Appreciate it. Read, Thank you so much.

0:54:23.880 --> 0:54:24.640
<v Speaker 9>That's read.

0:54:24.680 --> 0:54:33.360
<v Speaker 2>Hoffman of Paypo linked New York Times best selling author

0:54:33.760 --> 0:54:37.960
<v Speaker 2>his podcasts The Possible Podcast Season two started. It's out

0:54:38.040 --> 0:54:38.719
<v Speaker 2>No love is.

0:54:38.760 --> 0:54:40.560
<v Speaker 4>Love It all right, folks who are listening, row to

0:54:40.640 --> 0:54:41.560
<v Speaker 4>Bloomberg Business Week.

0:54:41.560 --> 0:54:44.480
<v Speaker 3>We're live at the Bloomberg Technology Summer in San Francisco.

0:54:45.080 --> 0:54:49.680
<v Speaker 1>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

0:54:49.880 --> 0:54:53.560
<v Speaker 1>and anywhere else you get your podcast. Listen live weekday

0:54:53.600 --> 0:54:57.040
<v Speaker 1>afternoons from two to five pm Eastern, on Bloomberg dot Com,

0:54:57.280 --> 0:55:00.680
<v Speaker 1>the iHeartRadio app, tune In, and the Bloomberg Business. You

0:55:00.760 --> 0:55:03.840
<v Speaker 1>can also watch us live every weekday on YouTube and

0:55:04.120 --> 0:55:05.800
<v Speaker 1>always on the Bloomberg terminal.